04.Generating Ground-truth Dataset.ipynb

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  {
   "cell_type": "code",
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   "id": "a0fd4dbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import required dependencies\n",
    "\n",
    "import pandas as pd\n",
    "pd.options.mode.chained_assignment=None  # default='warn'\n",
    "\n",
    "from tqdm import tqdm\n",
    "tqdm.pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e271e1fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>subject</th>\n",
       "      <th>content</th>\n",
       "      <th>n_words</th>\n",
       "      <th>clean_content</th>\n",
       "      <th>n_words_clean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Re: ISO NY Zone A West</td>\n",
       "      <td>Dale:\\n\\nLooks okay -- I just made a few chang...</td>\n",
       "      <td>125</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>All Types of Home Loans... Incredible Savings!...</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>137</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>123</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>ROD               , It's easy to subscribe!</td>\n",
       "      <td>&lt;http://www.emaildelivery.net/getimage.asp?id=...</td>\n",
       "      <td>152</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>TRANSSTATUS 30939 CONFIRMED</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>176</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Opportunity to Attend Blazers Practice Thursda...</td>\n",
       "      <td>FYI--\\n \\nSorry for the late notice, but our o...</td>\n",
       "      <td>287</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Action Requested:  Invoice Requires Coding/Iss...</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>107</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>WARNING:  Your mailbox is approaching the size...</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>125</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Update:  Contributions</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>350</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>privileged and confidential/attorney work product</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>119</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                               subject  \\\n",
       "0                               Re: ISO NY Zone A West   \n",
       "1    All Types of Home Loans... Incredible Savings!...   \n",
       "2                                                  NaN   \n",
       "3          ROD               , It's easy to subscribe!   \n",
       "4                          TRANSSTATUS 30939 CONFIRMED   \n",
       "..                                                 ...   \n",
       "995  Opportunity to Attend Blazers Practice Thursda...   \n",
       "996  Action Requested:  Invoice Requires Coding/Iss...   \n",
       "997  WARNING:  Your mailbox is approaching the size...   \n",
       "998                             Update:  Contributions   \n",
       "999  privileged and confidential/attorney work product   \n",
       "\n",
       "                                               content  n_words  \\\n",
       "0    Dale:\\n\\nLooks okay -- I just made a few chang...      125   \n",
       "1    Our Loan Packages Have Never Been More Attract...      137   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...      123   \n",
       "3    <http://www.emaildelivery.net/getimage.asp?id=...      152   \n",
       "4    Reservation status has changed to CONFIRMED. S...      176   \n",
       "..                                                 ...      ...   \n",
       "995  FYI--\\n \\nSorry for the late notice, but our o...      287   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...      107   \n",
       "997  This warning is sent automatically to inform y...      125   \n",
       "998  If you would like to contribute to the fund fo...      350   \n",
       "999  Attached please find a proposal by John Morris...      119   \n",
       "\n",
       "                                         clean_content  n_words_clean  \n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...            123  \n",
       "1    Our Loan Packages Have Never Been More Attract...            137  \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...            123  \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...            147  \n",
       "4    Reservation status has changed to CONFIRMED. S...            120  \n",
       "..                                                 ...            ...  \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...            113  \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...            107  \n",
       "997  This warning is sent automatically to inform y...            125  \n",
       "998  If you would like to contribute to the fund fo...            106  \n",
       "999  Attached please find a proposal by John Morris...            119  \n",
       "\n",
       "[1000 rows x 6 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load sample DataFrame\n",
    "\n",
    "sample_df = pd.read_csv('data/sample_emails.csv')\n",
    "sample_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "24439eb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>subject</th>\n",
       "      <th>content</th>\n",
       "      <th>n_words</th>\n",
       "      <th>clean_content</th>\n",
       "      <th>n_words_clean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Re: ISO NY Zone A West</td>\n",
       "      <td>Dale:\\n\\nLooks okay -- I just made a few chang...</td>\n",
       "      <td>125</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>All Types of Home Loans... Incredible Savings!...</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>137</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td></td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>123</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>ROD               , It's easy to subscribe!</td>\n",
       "      <td>&lt;http://www.emaildelivery.net/getimage.asp?id=...</td>\n",
       "      <td>152</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>TRANSSTATUS 30939 CONFIRMED</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>176</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Opportunity to Attend Blazers Practice Thursda...</td>\n",
       "      <td>FYI--\\n \\nSorry for the late notice, but our o...</td>\n",
       "      <td>287</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Action Requested:  Invoice Requires Coding/Iss...</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>107</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>WARNING:  Your mailbox is approaching the size...</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>125</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Update:  Contributions</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>350</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>privileged and confidential/attorney work product</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>119</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                               subject  \\\n",
       "0                               Re: ISO NY Zone A West   \n",
       "1    All Types of Home Loans... Incredible Savings!...   \n",
       "2                                                        \n",
       "3          ROD               , It's easy to subscribe!   \n",
       "4                          TRANSSTATUS 30939 CONFIRMED   \n",
       "..                                                 ...   \n",
       "995  Opportunity to Attend Blazers Practice Thursda...   \n",
       "996  Action Requested:  Invoice Requires Coding/Iss...   \n",
       "997  WARNING:  Your mailbox is approaching the size...   \n",
       "998                             Update:  Contributions   \n",
       "999  privileged and confidential/attorney work product   \n",
       "\n",
       "                                               content  n_words  \\\n",
       "0    Dale:\\n\\nLooks okay -- I just made a few chang...      125   \n",
       "1    Our Loan Packages Have Never Been More Attract...      137   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...      123   \n",
       "3    <http://www.emaildelivery.net/getimage.asp?id=...      152   \n",
       "4    Reservation status has changed to CONFIRMED. S...      176   \n",
       "..                                                 ...      ...   \n",
       "995  FYI--\\n \\nSorry for the late notice, but our o...      287   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...      107   \n",
       "997  This warning is sent automatically to inform y...      125   \n",
       "998  If you would like to contribute to the fund fo...      350   \n",
       "999  Attached please find a proposal by John Morris...      119   \n",
       "\n",
       "                                         clean_content  n_words_clean  \n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...            123  \n",
       "1    Our Loan Packages Have Never Been More Attract...            137  \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...            123  \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...            147  \n",
       "4    Reservation status has changed to CONFIRMED. S...            120  \n",
       "..                                                 ...            ...  \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...            113  \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...            107  \n",
       "997  This warning is sent automatically to inform y...            125  \n",
       "998  If you would like to contribute to the fund fo...            106  \n",
       "999  Attached please find a proposal by John Morris...            119  \n",
       "\n",
       "[1000 rows x 6 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace NaN with empty string\n",
    "\n",
    "sample_df = sample_df.fillna(\"\")\n",
    "sample_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6800ed73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>{\\n            \"persons\": [\"Dale\", \"Leslie\"],\\...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>{\\n            \"persons\": [\"Chris\", \"Hector\"],...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>{\\n            \"persons\": [\"Lisa Gang\", \"Bill ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>{\\n            \"persons\": [\"Tina Tate\", \"Debra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>{\\n            \"persons\": [\"Bob\", \"Becky\"],\\n ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>{\\n            \"persons\": [\"John Morris\"],\\n  ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                            prediction  \n",
       "0    {\\n            \"persons\": [\"Dale\", \"Leslie\"],\\...  \n",
       "1    {\\n            \"persons\": [],\\n            \"da...  \n",
       "2    {\\n            \"persons\": [\"Chris\", \"Hector\"],...  \n",
       "3    {\\n            \"persons\": [],\\n            \"da...  \n",
       "4    {\\n            \"persons\": [\"Lisa Gang\", \"Bill ...  \n",
       "..                                                 ...  \n",
       "995  {\\n            \"persons\": [\"Tina Tate\", \"Debra...  \n",
       "996  {\\n            \"persons\": [],\\n            \"da...  \n",
       "997  {\\n            \"persons\": [],\\n            \"da...  \n",
       "998  {\\n            \"persons\": [\"Bob\", \"Becky\"],\\n ...  \n",
       "999  {\\n            \"persons\": [\"John Morris\"],\\n  ...  \n",
       "\n",
       "[1000 rows x 2 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load GPT-3 predictions DataFrame\n",
    "\n",
    "pred_df = pd.read_csv('data/predictions.csv')\n",
    "pred_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "150442a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>subject</th>\n",
       "      <th>content</th>\n",
       "      <th>n_words</th>\n",
       "      <th>clean_content</th>\n",
       "      <th>n_words_clean</th>\n",
       "      <th>prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Re: ISO NY Zone A West</td>\n",
       "      <td>Dale:\\n\\nLooks okay -- I just made a few chang...</td>\n",
       "      <td>125</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>123</td>\n",
       "      <td>{\\n            \"persons\": [\"Dale\", \"Leslie\"],\\...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>All Types of Home Loans... Incredible Savings!...</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>137</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>137</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td></td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>123</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>123</td>\n",
       "      <td>{\\n            \"persons\": [\"Chris\", \"Hector\"],...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>ROD               , It's easy to subscribe!</td>\n",
       "      <td>&lt;http://www.emaildelivery.net/getimage.asp?id=...</td>\n",
       "      <td>152</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>147</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>TRANSSTATUS 30939 CONFIRMED</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>176</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>120</td>\n",
       "      <td>{\\n            \"persons\": [\"Lisa Gang\", \"Bill ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Opportunity to Attend Blazers Practice Thursda...</td>\n",
       "      <td>FYI--\\n \\nSorry for the late notice, but our o...</td>\n",
       "      <td>287</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>113</td>\n",
       "      <td>{\\n            \"persons\": [\"Tina Tate\", \"Debra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Action Requested:  Invoice Requires Coding/Iss...</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>107</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>107</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>WARNING:  Your mailbox is approaching the size...</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>125</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>125</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Update:  Contributions</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>350</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>106</td>\n",
       "      <td>{\\n            \"persons\": [\"Bob\", \"Becky\"],\\n ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>privileged and confidential/attorney work product</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>119</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>119</td>\n",
       "      <td>{\\n            \"persons\": [\"John Morris\"],\\n  ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                               subject  \\\n",
       "0                               Re: ISO NY Zone A West   \n",
       "1    All Types of Home Loans... Incredible Savings!...   \n",
       "2                                                        \n",
       "3          ROD               , It's easy to subscribe!   \n",
       "4                          TRANSSTATUS 30939 CONFIRMED   \n",
       "..                                                 ...   \n",
       "995  Opportunity to Attend Blazers Practice Thursda...   \n",
       "996  Action Requested:  Invoice Requires Coding/Iss...   \n",
       "997  WARNING:  Your mailbox is approaching the size...   \n",
       "998                             Update:  Contributions   \n",
       "999  privileged and confidential/attorney work product   \n",
       "\n",
       "                                               content  n_words  \\\n",
       "0    Dale:\\n\\nLooks okay -- I just made a few chang...      125   \n",
       "1    Our Loan Packages Have Never Been More Attract...      137   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...      123   \n",
       "3    <http://www.emaildelivery.net/getimage.asp?id=...      152   \n",
       "4    Reservation status has changed to CONFIRMED. S...      176   \n",
       "..                                                 ...      ...   \n",
       "995  FYI--\\n \\nSorry for the late notice, but our o...      287   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...      107   \n",
       "997  This warning is sent automatically to inform y...      125   \n",
       "998  If you would like to contribute to the fund fo...      350   \n",
       "999  Attached please find a proposal by John Morris...      119   \n",
       "\n",
       "                                         clean_content  n_words_clean  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...            123   \n",
       "1    Our Loan Packages Have Never Been More Attract...            137   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...            123   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...            147   \n",
       "4    Reservation status has changed to CONFIRMED. S...            120   \n",
       "..                                                 ...            ...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...            113   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...            107   \n",
       "997  This warning is sent automatically to inform y...            125   \n",
       "998  If you would like to contribute to the fund fo...            106   \n",
       "999  Attached please find a proposal by John Morris...            119   \n",
       "\n",
       "                                            prediction  \n",
       "0    {\\n            \"persons\": [\"Dale\", \"Leslie\"],\\...  \n",
       "1    {\\n            \"persons\": [],\\n            \"da...  \n",
       "2    {\\n            \"persons\": [\"Chris\", \"Hector\"],...  \n",
       "3    {\\n            \"persons\": [],\\n            \"da...  \n",
       "4    {\\n            \"persons\": [\"Lisa Gang\", \"Bill ...  \n",
       "..                                                 ...  \n",
       "995  {\\n            \"persons\": [\"Tina Tate\", \"Debra...  \n",
       "996  {\\n            \"persons\": [],\\n            \"da...  \n",
       "997  {\\n            \"persons\": [],\\n            \"da...  \n",
       "998  {\\n            \"persons\": [\"Bob\", \"Becky\"],\\n ...  \n",
       "999  {\\n            \"persons\": [\"John Morris\"],\\n  ...  \n",
       "\n",
       "[1000 rows x 7 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge dataframes by message_id \n",
    "\n",
    "df = sample_df.merge(pred_df, how='outer', left_on=['message_id'], right_on=['message_id'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b6059fcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>clean_content</th>\n",
       "      <th>prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{\\n            \"persons\": [\"Dale\", \"Leslie\"],\\...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{\\n            \"persons\": [\"Chris\", \"Hector\"],...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{\\n            \"persons\": [\"Lisa Gang\", \"Bill ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{\\n            \"persons\": [\"Tina Tate\", \"Debra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{\\n            \"persons\": [\"Bob\", \"Becky\"],\\n ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{\\n            \"persons\": [\"John Morris\"],\\n  ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                         clean_content  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "1    Our Loan Packages Have Never Been More Attract...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "..                                                 ...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "997  This warning is sent automatically to inform y...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \n",
       "0    {\\n            \"persons\": [\"Dale\", \"Leslie\"],\\...  \n",
       "1    {\\n            \"persons\": [],\\n            \"da...  \n",
       "2    {\\n            \"persons\": [\"Chris\", \"Hector\"],...  \n",
       "3    {\\n            \"persons\": [],\\n            \"da...  \n",
       "4    {\\n            \"persons\": [\"Lisa Gang\", \"Bill ...  \n",
       "..                                                 ...  \n",
       "995  {\\n            \"persons\": [\"Tina Tate\", \"Debra...  \n",
       "996  {\\n            \"persons\": [],\\n            \"da...  \n",
       "997  {\\n            \"persons\": [],\\n            \"da...  \n",
       "998  {\\n            \"persons\": [\"Bob\", \"Becky\"],\\n ...  \n",
       "999  {\\n            \"persons\": [\"John Morris\"],\\n  ...  \n",
       "\n",
       "[1000 rows x 3 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Keep relevant column names\n",
    "\n",
    "df = df[[\"message_id\", \"clean_content\", \"prediction\"]]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e2a1dc94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{\\n            \"persons\": [\"Dale\", \"Leslie\"],\\...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{\\n            \"persons\": [\"Chris\", \"Hector\"],...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{\\n            \"persons\": [\"Lisa Gang\", \"Bill ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{\\n            \"persons\": [\"Tina Tate\", \"Debra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{\\n            \"persons\": [],\\n            \"da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{\\n            \"persons\": [\"Bob\", \"Becky\"],\\n ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{\\n            \"persons\": [\"John Morris\"],\\n  ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "1    Our Loan Packages Have Never Been More Attract...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "..                                                 ...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "997  This warning is sent automatically to inform y...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \n",
       "0    {\\n            \"persons\": [\"Dale\", \"Leslie\"],\\...  \n",
       "1    {\\n            \"persons\": [],\\n            \"da...  \n",
       "2    {\\n            \"persons\": [\"Chris\", \"Hector\"],...  \n",
       "3    {\\n            \"persons\": [],\\n            \"da...  \n",
       "4    {\\n            \"persons\": [\"Lisa Gang\", \"Bill ...  \n",
       "..                                                 ...  \n",
       "995  {\\n            \"persons\": [\"Tina Tate\", \"Debra...  \n",
       "996  {\\n            \"persons\": [],\\n            \"da...  \n",
       "997  {\\n            \"persons\": [],\\n            \"da...  \n",
       "998  {\\n            \"persons\": [\"Bob\", \"Becky\"],\\n ...  \n",
       "999  {\\n            \"persons\": [\"John Morris\"],\\n  ...  \n",
       "\n",
       "[1000 rows x 3 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Rename column clean_content to text\n",
    "\n",
    "df.rename(columns={\"clean_content\": \"text\"}, inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2a0467be",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dale:\n",
      "\n",
      "Looks okay  I just made a few changes  I updated the reference the NYISO \n",
      "as the site publisher and also updated the location reference.  \n",
      "\n",
      "ISO NY Zone A (West) Peak\n",
      "\n",
      "The Floating Price during a Determination Period shall be the average of the \n",
      "hourly day-ahead prices listed in the Index (in final, not estimate, form) \n",
      "for electricity delivered during Peak hours on each Delivery Day during the \n",
      "applicable Determination Period.  The Floating Price for each Determination \n",
      "Period shall be calculated utilizing the hourly clearing prices published by \n",
      "the New York Independent System Operator on its official web site currently \n",
      "located at http://www.nyiso.com/oasis/index.html, or any successor thereto, \n",
      "under the headings \"Day Ahead Market LBMP - Zonal; Zonal Prices; West \n",
      "(61752)\"  (the \"Index\").\n",
      "\n",
      "\n",
      "Leslie\n"
     ]
    }
   ],
   "source": [
    "# Check sample \n",
    "\n",
    "sample_email = df['text'].iloc[0]\n",
    "print(sample_email)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "20ed1605",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "            \"persons\": [\"Dale\", \"Leslie\"],\n",
      "            \"dates\": [],\n",
      "            \"locations\": [\"NYISO\"],\n",
      "            \"organizations\": [],\n",
      "            \"sentiment\": \"neutral\"\n",
      "         }\n"
     ]
    }
   ],
   "source": [
    "sample_prediction = df['prediction'].iloc[0]\n",
    "print(sample_prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ababb158",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(sample_prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5afd2300",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [message_id, text, prediction]\n",
       "Index: []"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check how many predictions have error message\n",
    "\n",
    "df[df[\"prediction\"].str.contains(\"Error:\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2d84c7c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "def to_dict(response):\n",
    "    \"\"\"\n",
    "    Conver GPT-3 response to Python\n",
    "    dictionary\n",
    "    \"\"\"\n",
    "    \n",
    "    try:\n",
    "        if not response.startswith(\"{\"):\n",
    "            response = \"{\" + response + \"}\"\n",
    "        \n",
    "        response = json.loads(response)\n",
    "    \n",
    "    except json.JSONDecodeError as e:\n",
    "        print(\"Invalid JSON syntax:\", e)\n",
    "        response = {}\n",
    "\n",
    "    return response"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e0589c84",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████| 1000/1000 [00:00<00:00, 19196.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Invalid JSON syntax: Invalid \\escape: line 4 column 30 (char 136)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{'persons': ['Dale', 'Leslie'], 'dates': [], '...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{'persons': ['Chris', 'Hector'], 'dates': [], ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{'persons': ['Lisa Gang', 'Bill Rust'], 'dates...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{'persons': ['Tina Tate', 'Debra Davidson'], '...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{'persons': ['Bob', 'Becky'], 'dates': [], 'lo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{'persons': ['John Morris'], 'dates': ['Thursd...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "1    Our Loan Packages Have Never Been More Attract...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "..                                                 ...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "997  This warning is sent automatically to inform y...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \n",
       "0    {'persons': ['Dale', 'Leslie'], 'dates': [], '...  \n",
       "1    {'persons': [], 'dates': [], 'locations': [], ...  \n",
       "2    {'persons': ['Chris', 'Hector'], 'dates': [], ...  \n",
       "3    {'persons': [], 'dates': [], 'locations': [], ...  \n",
       "4    {'persons': ['Lisa Gang', 'Bill Rust'], 'dates...  \n",
       "..                                                 ...  \n",
       "995  {'persons': ['Tina Tate', 'Debra Davidson'], '...  \n",
       "996  {'persons': [], 'dates': [], 'locations': [], ...  \n",
       "997  {'persons': [], 'dates': [], 'locations': [], ...  \n",
       "998  {'persons': ['Bob', 'Becky'], 'dates': [], 'lo...  \n",
       "999  {'persons': ['John Morris'], 'dates': ['Thursd...  \n",
       "\n",
       "[1000 rows x 3 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We'll convert the prediction response to Python dictionary data type\n",
    "\n",
    "df[\"prediction\"] = df[\"prediction\"].progress_apply(lambda x: to_dict(x))\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "16eb6d72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'message_id': '<23119266.1075844369192.JavaMail.evans@thyme>',\n",
       "  'text': 'Dale:\\n\\nLooks okay  I just made a few changes  I updated the reference the NYISO \\nas the site publisher and also updated the location reference.  \\n\\nISO NY Zone A (West) Peak\\n\\nThe Floating Price during a Determination Period shall be the average of the \\nhourly day-ahead prices listed in the Index (in final, not estimate, form) \\nfor electricity delivered during Peak hours on each Delivery Day during the \\napplicable Determination Period.  The Floating Price for each Determination \\nPeriod shall be calculated utilizing the hourly clearing prices published by \\nthe New York Independent System Operator on its official web site currently \\nlocated at http://www.nyiso.com/oasis/index.html, or any successor thereto, \\nunder the headings \"Day Ahead Market LBMP - Zonal; Zonal Prices; West \\n(61752)\"  (the \"Index\").\\n\\n\\nLeslie',\n",
       "  'prediction': {'persons': ['Dale', 'Leslie'],\n",
       "   'dates': [],\n",
       "   'locations': ['NYISO'],\n",
       "   'organizations': [],\n",
       "   'sentiment': 'neutral'}},\n",
       " {'message_id': '<32592935.1075840757928.JavaMail.evans@thyme>',\n",
       "  'text': \"Our Loan Packages Have Never Been More Attractive!\\t\\n\\n\\nNow is the time to refinance your home or get a second mortgage to consolidate \\nall of your high interest credit card debt. Get all the Smart Cash you'll need!\\nCash out your equity while rates are low! (UP TO 125%)\\nAll USA Homeowners Easily Qualify!\\nDamaged Credit Is never a problem!\\n We work with nation-wide lenders that are offering great deals \\n and will provide you with the best service on the INTERNET!\\nOur service is 100% free!CLICK HERE For more details and to receive a no obligation quotation today! \\nWe strongly oppose the use of SPAM email and do not want anyone who does not wish to receive \\nour  mailings to receive them. Please click here to be deleted from further communicationClick Here to unsubscribe from future promotions.\",\n",
       "  'prediction': {'persons': [],\n",
       "   'dates': [],\n",
       "   'locations': [],\n",
       "   'organizations': [],\n",
       "   'sentiment': 'positive'}},\n",
       " {'message_id': '<31344186.1075853679126.JavaMail.evans@thyme>',\n",
       "  'text': \"Hi Chris, \\n\\nI just called you a while ago and they said you'd call me back.? I may not be \\nat my phone when you call because I'm at my other desk for the rest of the \\nafternoon.\\n\\nI called to thank you for the goody package I received this afternoon.? \\nHector likes his golf shirt and my pen and pencil are very nice.? I've \\nalready tested them both.\\n\\nI'm going to be visiting the New York customers this week and I'll probably \\ntake my new pen and pencil with me, if I can figure out a way to cover up the \\nEnron part.\\n\\nHope you are well.? Let's talk soon so we can act like tomatoes and catchup.? \\n:) \\n\\nTake care.?? ii\",\n",
       "  'prediction': {'persons': ['Chris', 'Hector'],\n",
       "   'dates': [],\n",
       "   'locations': ['New York'],\n",
       "   'organizations': ['Enron'],\n",
       "   'sentiment': 'positive'}},\n",
       " {'message_id': '<17603763.1075862292350.JavaMail.evans@thyme>',\n",
       "  'text': \"Dear ROD ,\\n\\nYou have received this email because you are a valued customer of Platts - the energy information division of The McGraw Hill Companies.\\n\\nIt's easy to subscribe to GLOBAL ENERGY BUSINESS. Click here to answer a few short questions and be on your way to your FREE subscription to GLOBAL ENERGY BUSINESS!\\n\\n\\n\\nGLOBAL ENERGY BUSINESS is the magazine of choice for energy executives and senior managers worldwide. In each issue, you will receive comprehensive analysis and perspective on a host of subjects essential to your firm's operation, including:  \\n\\nEnergy Trading \\nRisk Management \\nInformation Technologies \\nPower Generation \\nEnergy Delivery * Finance \\nRetail Energy Business \\nLegal/Regulatory \\nManagement Strategies \\nCorporate/Executive Profiles \\n\\nClick on the link below to subscribe to GLOBAL ENERGY BUSINESS. \\n\\n\\n\\nIf you feel you have received this message in error or would like to be removed from this list, please click on the link below.\",\n",
       "  'prediction': {'persons': [],\n",
       "   'dates': [],\n",
       "   'locations': [],\n",
       "   'organizations': ['Platts', 'The McGraw Hill Companies'],\n",
       "   'sentiment': 'neutral'}},\n",
       " {'message_id': '<11709436.1075840470552.JavaMail.evans@thyme>',\n",
       "  'text': 'Reservation status has changed to CONFIRMED. See attachment.\\n\\nASSIGNMENTREF 30939\\nSELLERCODE AZPS\\nSELLERDUNS 958982563\\nCUSTOMERCODE EPMI  \\nCUSTOMERDUNS 848921276\\nAFFILIATEFLAG 0\\nPATHNAME W/AZPS/AZPS-AZPS/FOURCORNE345 - PNPKAPS230//\\nPOINTOFRECEIPT FOURCORNE345\\nPOINTOFDELIVERY PNPKAPS230\\nSOURCE FOURCORNERS3\\nSINK PNPK\\nCAPACITY 25\\nCAPACITYREQUESTED 25\\nSERVICEINCREMENT HOURLY\\nTSCLASS FIRM\\nTSTYPE POINTTOPOINT\\nTSPERIOD OFFPEAK\\nTSWINDOW FIXED\\nTSSUBCLASS WHEEL\\nNERCCURTAILMENTPRIORITY Nerc Priority 1\\nOTHERCURTAILMENTPRIORITY Default\\nSTARTTIME 06/24/2002\\nSTOPTIME 06/24/2002\\nCEILINGPRICE 3.13\\nOFFERPRICE 3.13\\nBIDPRICE 3.13\\nPRICEUNITS $/mW  \\nPRECONFIRMED YES\\nANCSVCLINK N/A\\nANCSVCREQ N/A\\nPOSTINGREF 0\\nSALEREF REQUESTREF DEALREF NEGOTIATEDPRICEFLAG STATUS CONFIRMED\\nSTATUSNOTIFICATION lisa.gang@enron.com\\nSTATUSCOMMENTS TIMEQUEUED 06/21/2002\\nRESPONSETIMELIMIT TIMEOFLASTUPDATE 06/21/2002\\nPRIMARYPROVIDERCOMMENTS SELLERCOMMENTS CUSTOMERCOMMENTS FOR INFO CALL (503)464-5070\\nSELLERNAME AZPS\\nSELLERPHONE 602.250.1128\\nSELLERFAX 602.250.1155\\nSELLEREMAIL oasisadm@apsc.com\\nCUSTOMERNAME Enron Power Marketing, Inc.\\nCUSTOMERPHONE (713)853-3801\\nCUSTOMERFAX (713)646-8272\\nCUSTOMEREMAIL bill.rust@enron.com\\nREASSIGNEDREF 0\\nREASSIGNEDCAPACITY 0\\nREASSIGNEDSTARTTIME REASSIGNEDSTOPTIME',\n",
       "  'prediction': {'persons': ['Lisa Gang', 'Bill Rust'],\n",
       "   'dates': ['06/24/2002', '06/21/2002'],\n",
       "   'locations': [],\n",
       "   'organizations': ['AZPS', 'Enron Power Marketing, Inc.'],\n",
       "   'sentiment': 'neutral'}}]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.to_dict('records')[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cffcbf75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dale:\n",
      "\n",
      "Looks okay  I just made a few changes  I updated the reference the NYISO \n",
      "as the site publisher and also updated the location reference.  \n",
      "\n",
      "ISO NY Zone A (West) Peak\n",
      "\n",
      "The Floating Price during a Determination Period shall be the average of the \n",
      "hourly day-ahead prices listed in the Index (in final, not estimate, form) \n",
      "for electricity delivered during Peak hours on each Delivery Day during the \n",
      "applicable Determination Period.  The Floating Price for each Determination \n",
      "Period shall be calculated utilizing the hourly clearing prices published by \n",
      "the New York Independent System Operator on its official web site currently \n",
      "located at http://www.nyiso.com/oasis/index.html, or any successor thereto, \n",
      "under the headings \"Day Ahead Market LBMP - Zonal; Zonal Prices; West \n",
      "(61752)\"  (the \"Index\").\n",
      "\n",
      "\n",
      "Leslie\n"
     ]
    }
   ],
   "source": [
    "print(df['text'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3612c8ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'persons': ['Dale', 'Leslie'],\n",
       " 'dates': [],\n",
       " 'locations': ['NYISO'],\n",
       " 'organizations': [],\n",
       " 'sentiment': 'neutral'}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['prediction'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "eed55d0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create utility function to extract named entities\n",
    "\n",
    "def extract_entities(response):\n",
    "    \"\"\"\n",
    "    Extract named entities\n",
    "    \"\"\"\n",
    "    entities = []\n",
    "    if 'persons' in response:\n",
    "        persons = response['persons']\n",
    "        if persons:\n",
    "            for person in persons:\n",
    "                entity = {}\n",
    "                entity['word'] = person\n",
    "                entity['tag'] = 'PERSON'\n",
    "                entities.append(entity)\n",
    "    \n",
    "    if 'dates' in response:\n",
    "        dates = response['dates']\n",
    "        if dates:\n",
    "            for date in dates:\n",
    "                entity = {}\n",
    "                entity['word'] = date\n",
    "                entity['tag'] = 'DATE'\n",
    "                entities.append(entity)\n",
    "                \n",
    "    if 'locations' in response:\n",
    "        locations = response['locations']\n",
    "        if locations:\n",
    "            for location in locations:\n",
    "                entity = {}\n",
    "                entity['word'] = location\n",
    "                entity['tag'] = 'LOCATION'\n",
    "                entities.append(entity)\n",
    "                \n",
    "    if 'organizations' in response:\n",
    "        organizations = response['organizations']\n",
    "        if organizations:\n",
    "            for organization in organizations:\n",
    "                entity = {}\n",
    "                entity['word'] = organization\n",
    "                entity['tag'] = 'ORG'\n",
    "                entities.append(entity)\n",
    "                \n",
    "    return entities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e598bae4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'word': 'Dale', 'tag': 'PERSON'},\n",
       " {'word': 'Leslie', 'tag': 'PERSON'},\n",
       " {'word': 'NYISO', 'tag': 'LOCATION'}]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extract_entities(df['prediction'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d12ffad1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create utility function to extract sentiment label\n",
    "\n",
    "def extract_sentiment(response):\n",
    "    \"\"\"\n",
    "    Extract sentiment label\n",
    "    \"\"\"\n",
    "    sentiment = \"\"\n",
    "    if 'sentiment' in response:\n",
    "        sentiment = response['sentiment']\n",
    "    return sentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4c37f2a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'neutral'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extract_sentiment(df['prediction'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0b852a53",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████| 1000/1000 [00:00<00:00, 178701.55it/s]\n",
      "100%|███████████████████████████████████| 1000/1000 [00:00<00:00, 525272.89it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "      <th>entities</th>\n",
       "      <th>sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{'persons': ['Dale', 'Leslie'], 'dates': [], '...</td>\n",
       "      <td>[{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{'persons': ['Chris', 'Hector'], 'dates': [], ...</td>\n",
       "      <td>[{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{'persons': ['Lisa Gang', 'Bill Rust'], 'dates...</td>\n",
       "      <td>[{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{'persons': ['Tina Tate', 'Debra Davidson'], '...</td>\n",
       "      <td>[{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{'persons': ['Bob', 'Becky'], 'dates': [], 'lo...</td>\n",
       "      <td>[{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{'persons': ['John Morris'], 'dates': ['Thursd...</td>\n",
       "      <td>[{'word': 'John Morris', 'tag': 'PERSON'}, {'w...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "1    Our Loan Packages Have Never Been More Attract...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "..                                                 ...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "997  This warning is sent automatically to inform y...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \\\n",
       "0    {'persons': ['Dale', 'Leslie'], 'dates': [], '...   \n",
       "1    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "2    {'persons': ['Chris', 'Hector'], 'dates': [], ...   \n",
       "3    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "4    {'persons': ['Lisa Gang', 'Bill Rust'], 'dates...   \n",
       "..                                                 ...   \n",
       "995  {'persons': ['Tina Tate', 'Debra Davidson'], '...   \n",
       "996  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "997  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "998  {'persons': ['Bob', 'Becky'], 'dates': [], 'lo...   \n",
       "999  {'persons': ['John Morris'], 'dates': ['Thursd...   \n",
       "\n",
       "                                              entities sentiment  \n",
       "0    [{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...   neutral  \n",
       "1                                                   []  positive  \n",
       "2    [{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...  positive  \n",
       "3    [{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...   neutral  \n",
       "4    [{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...   neutral  \n",
       "..                                                 ...       ...  \n",
       "995  [{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...   neutral  \n",
       "996  [{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...   neutral  \n",
       "997                                                 []   neutral  \n",
       "998  [{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...  positive  \n",
       "999  [{'word': 'John Morris', 'tag': 'PERSON'}, {'w...   neutral  \n",
       "\n",
       "[1000 rows x 5 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Extract list of entities\n",
    "df['entities'] = df[\"prediction\"].progress_apply(lambda x: extract_entities(x))\n",
    "\n",
    "# Extract sentiment label\n",
    "df['sentiment'] = df[\"prediction\"].progress_apply(lambda x: extract_sentiment(x))\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "848411cf",
   "metadata": {},
   "source": [
    "### Named Entity Recognition (NER)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ad41bb76",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "      <th>entities</th>\n",
       "      <th>sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{'persons': ['Dale', 'Leslie'], 'dates': [], '...</td>\n",
       "      <td>[{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{'persons': ['Chris', 'Hector'], 'dates': [], ...</td>\n",
       "      <td>[{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{'persons': ['Lisa Gang', 'Bill Rust'], 'dates...</td>\n",
       "      <td>[{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{'persons': ['Tina Tate', 'Debra Davidson'], '...</td>\n",
       "      <td>[{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{'persons': ['Bob', 'Becky'], 'dates': [], 'lo...</td>\n",
       "      <td>[{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{'persons': ['John Morris'], 'dates': ['Thursd...</td>\n",
       "      <td>[{'word': 'John Morris', 'tag': 'PERSON'}, {'w...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "1    Our Loan Packages Have Never Been More Attract...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "..                                                 ...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "997  This warning is sent automatically to inform y...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \\\n",
       "0    {'persons': ['Dale', 'Leslie'], 'dates': [], '...   \n",
       "1    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "2    {'persons': ['Chris', 'Hector'], 'dates': [], ...   \n",
       "3    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "4    {'persons': ['Lisa Gang', 'Bill Rust'], 'dates...   \n",
       "..                                                 ...   \n",
       "995  {'persons': ['Tina Tate', 'Debra Davidson'], '...   \n",
       "996  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "997  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "998  {'persons': ['Bob', 'Becky'], 'dates': [], 'lo...   \n",
       "999  {'persons': ['John Morris'], 'dates': ['Thursd...   \n",
       "\n",
       "                                              entities sentiment  \n",
       "0    [{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...   neutral  \n",
       "1                                                   []  positive  \n",
       "2    [{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...  positive  \n",
       "3    [{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...   neutral  \n",
       "4    [{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...   neutral  \n",
       "..                                                 ...       ...  \n",
       "995  [{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...   neutral  \n",
       "996  [{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...   neutral  \n",
       "997                                                 []   neutral  \n",
       "998  [{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...  positive  \n",
       "999  [{'word': 'John Morris', 'tag': 'PERSON'}, {'w...   neutral  \n",
       "\n",
       "[1000 rows x 5 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create copy of dataframe and use it for NER task\n",
    "\n",
    "ner_df = df.copy()\n",
    "ner_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "27f82716",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "      <th>entities</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{'persons': ['Dale', 'Leslie'], 'dates': [], '...</td>\n",
       "      <td>[{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{'persons': ['Chris', 'Hector'], 'dates': [], ...</td>\n",
       "      <td>[{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{'persons': ['Lisa Gang', 'Bill Rust'], 'dates...</td>\n",
       "      <td>[{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{'persons': ['Tina Tate', 'Debra Davidson'], '...</td>\n",
       "      <td>[{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{'persons': ['Bob', 'Becky'], 'dates': [], 'lo...</td>\n",
       "      <td>[{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{'persons': ['John Morris'], 'dates': ['Thursd...</td>\n",
       "      <td>[{'word': 'John Morris', 'tag': 'PERSON'}, {'w...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "1    Our Loan Packages Have Never Been More Attract...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "..                                                 ...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "997  This warning is sent automatically to inform y...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \\\n",
       "0    {'persons': ['Dale', 'Leslie'], 'dates': [], '...   \n",
       "1    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "2    {'persons': ['Chris', 'Hector'], 'dates': [], ...   \n",
       "3    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "4    {'persons': ['Lisa Gang', 'Bill Rust'], 'dates...   \n",
       "..                                                 ...   \n",
       "995  {'persons': ['Tina Tate', 'Debra Davidson'], '...   \n",
       "996  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "997  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "998  {'persons': ['Bob', 'Becky'], 'dates': [], 'lo...   \n",
       "999  {'persons': ['John Morris'], 'dates': ['Thursd...   \n",
       "\n",
       "                                              entities  \n",
       "0    [{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...  \n",
       "1                                                   []  \n",
       "2    [{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...  \n",
       "3    [{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...  \n",
       "4    [{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...  \n",
       "..                                                 ...  \n",
       "995  [{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...  \n",
       "996  [{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...  \n",
       "997                                                 []  \n",
       "998  [{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...  \n",
       "999  [{'word': 'John Morris', 'tag': 'PERSON'}, {'w...  \n",
       "\n",
       "[1000 rows x 4 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop column 'sentiment'\n",
    "\n",
    "ner_df.drop(columns=[\"sentiment\"], inplace=True)\n",
    "ner_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "feb0c606",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "      <th>entities</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>&lt;30005438.1075852929371.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>&lt;7063394.1075841396120.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>take this home for your kids\\n\\n\\n\\n**********...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>&lt;21065380.1075846674108.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>L O V E   H O R O S C O P E \\n+  \\n   \\nSagitt...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>&lt;25946868.1075859123632.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>&lt;18011448.1075854982754.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>&lt;33211298.1075840979739.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>All the software you need to burn your own DVD...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>&lt;27483442.1075852321175.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>18:23:00 Synchronizing Mailbox 'Nemec, Gerald'...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>&lt;22491296.1075858858139.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Save up to 75% on Term Life Insurance  Get FRE...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>&lt;29417499.1075858678469.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>&lt;29916264.1075855138389.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Your mailbox has exceeded one or more size lim...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>&lt;1079841.1075841492552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Accept Credit Carts today!\\n\\n\\n\\nStart Accept...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>&lt;32713495.1075860858969.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>&lt;9065467.1075859282885.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>16 Amazing Stealth \\n  Software Titles on CD\\n...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>&lt;2766734.1075853085565.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Three men are sitting naked in the sauna.\\n   ...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>&lt;8363014.1075855202738.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>My thoughts \\n\\n1.\\tGreat job.\\n2.\\tI would ch...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>&lt;21122529.1075852930905.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>&lt;796375.1075840976778.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>All the software you need to burn your own DVD...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>&lt;24907788.1075853084607.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>http://www.changes.com/1015allv1.html\\nThese L...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>&lt;22504295.1075840751839.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hair Loss Got You Down?\\nWould You Like to do ...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>&lt;10736787.1075862048655.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>I understand your point on this and agree that...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>&lt;4056185.1075841324487.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>**********************************************...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>649</th>\n",
       "      <td>&lt;9026607.1075855136466.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Two bored  casino dealers were waiting at a cr...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>&lt;21892955.1075858682764.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>&lt;26871566.1075854982541.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>724</th>\n",
       "      <td>&lt;19743948.1075853057208.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>An Excel  spreadsheet (AR  GT3Days DMD09.xls) ...</td>\n",
       "      <td>{}</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>745</th>\n",
       "      <td>&lt;24037933.1075860337735.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>A married man goes to confessional and he tell...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>753</th>\n",
       "      <td>&lt;9620485.1075861978613.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>18:58:13 Synchronizing Mailbox 'Taylor, Mark E...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>826</th>\n",
       "      <td>&lt;30237259.1075855209614.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Your mailbox has exceeded one or more size lim...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>828</th>\n",
       "      <td>&lt;30887456.1075855136802.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>843</th>\n",
       "      <td>&lt;21470429.1075855041405.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>&lt;23584468.1075861042514.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Want to send  hugs and kisses with Blue Mounta...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>&lt;28032075.1075840804703.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attractive Rates The Time To CASH OUT Your Hom...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>912</th>\n",
       "      <td>&lt;4900765.1075861448448.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>920</th>\n",
       "      <td>&lt;28168953.1075855137600.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Your mailbox has exceeded one or more size lim...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>929</th>\n",
       "      <td>&lt;17979970.1075840978706.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Visit the web's favorite meeting place.\\n\\nTho...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>957</th>\n",
       "      <td>&lt;9703516.1075852859988.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>960</th>\n",
       "      <td>&lt;532838.1075858900565.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>In the first year of a regular two year sessio...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>&lt;29745704.1075855417124.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>.. Wilma had a very perverted idea, that gave ...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "65   <30005438.1075852929371.JavaMail.evans@thyme>   \n",
       "66    <7063394.1075841396120.JavaMail.evans@thyme>   \n",
       "73   <21065380.1075846674108.JavaMail.evans@thyme>   \n",
       "110  <25946868.1075859123632.JavaMail.evans@thyme>   \n",
       "126  <18011448.1075854982754.JavaMail.evans@thyme>   \n",
       "157  <33211298.1075840979739.JavaMail.evans@thyme>   \n",
       "207  <27483442.1075852321175.JavaMail.evans@thyme>   \n",
       "208  <22491296.1075858858139.JavaMail.evans@thyme>   \n",
       "211  <29417499.1075858678469.JavaMail.evans@thyme>   \n",
       "216  <29916264.1075855138389.JavaMail.evans@thyme>   \n",
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       "378  <21122529.1075852930905.JavaMail.evans@thyme>   \n",
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       "584  <10736787.1075862048655.JavaMail.evans@thyme>   \n",
       "598   <4056185.1075841324487.JavaMail.evans@thyme>   \n",
       "649   <9026607.1075855136466.JavaMail.evans@thyme>   \n",
       "677  <21892955.1075858682764.JavaMail.evans@thyme>   \n",
       "713  <26871566.1075854982541.JavaMail.evans@thyme>   \n",
       "724  <19743948.1075853057208.JavaMail.evans@thyme>   \n",
       "745  <24037933.1075860337735.JavaMail.evans@thyme>   \n",
       "753   <9620485.1075861978613.JavaMail.evans@thyme>   \n",
       "826  <30237259.1075855209614.JavaMail.evans@thyme>   \n",
       "828  <30887456.1075855136802.JavaMail.evans@thyme>   \n",
       "843  <21470429.1075855041405.JavaMail.evans@thyme>   \n",
       "885  <23584468.1075861042514.JavaMail.evans@thyme>   \n",
       "902  <28032075.1075840804703.JavaMail.evans@thyme>   \n",
       "912   <4900765.1075861448448.JavaMail.evans@thyme>   \n",
       "920  <28168953.1075855137600.JavaMail.evans@thyme>   \n",
       "929  <17979970.1075840978706.JavaMail.evans@thyme>   \n",
       "957   <9703516.1075852859988.JavaMail.evans@thyme>   \n",
       "960    <532838.1075858900565.JavaMail.evans@thyme>   \n",
       "990  <29745704.1075855417124.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "1    Our Loan Packages Have Never Been More Attract...   \n",
       "65   This warning is sent automatically to inform y...   \n",
       "66   take this home for your kids\\n\\n\\n\\n**********...   \n",
       "73   L O V E   H O R O S C O P E \\n+  \\n   \\nSagitt...   \n",
       "110  This warning is sent automatically to inform y...   \n",
       "126  This warning is sent automatically to inform y...   \n",
       "157  All the software you need to burn your own DVD...   \n",
       "207  18:23:00 Synchronizing Mailbox 'Nemec, Gerald'...   \n",
       "208  Save up to 75% on Term Life Insurance  Get FRE...   \n",
       "211  This warning is sent automatically to inform y...   \n",
       "216  Your mailbox has exceeded one or more size lim...   \n",
       "263  Accept Credit Carts today!\\n\\n\\n\\nStart Accept...   \n",
       "264  This warning is sent automatically to inform y...   \n",
       "267  16 Amazing Stealth \\n  Software Titles on CD\\n...   \n",
       "323  Three men are sitting naked in the sauna.\\n   ...   \n",
       "350  My thoughts \\n\\n1.\\tGreat job.\\n2.\\tI would ch...   \n",
       "378  This warning is sent automatically to inform y...   \n",
       "444  All the software you need to burn your own DVD...   \n",
       "517  http://www.changes.com/1015allv1.html\\nThese L...   \n",
       "547  Hair Loss Got You Down?\\nWould You Like to do ...   \n",
       "584  I understand your point on this and agree that...   \n",
       "598  **********************************************...   \n",
       "649  Two bored  casino dealers were waiting at a cr...   \n",
       "677  This warning is sent automatically to inform y...   \n",
       "713  This warning is sent automatically to inform y...   \n",
       "724  An Excel  spreadsheet (AR  GT3Days DMD09.xls) ...   \n",
       "745  A married man goes to confessional and he tell...   \n",
       "753  18:58:13 Synchronizing Mailbox 'Taylor, Mark E...   \n",
       "826  Your mailbox has exceeded one or more size lim...   \n",
       "828  This warning is sent automatically to inform y...   \n",
       "843  This warning is sent automatically to inform y...   \n",
       "885  Want to send  hugs and kisses with Blue Mounta...   \n",
       "902  Attractive Rates The Time To CASH OUT Your Hom...   \n",
       "912  This warning is sent automatically to inform y...   \n",
       "920  Your mailbox has exceeded one or more size lim...   \n",
       "929  Visit the web's favorite meeting place.\\n\\nTho...   \n",
       "957  This warning is sent automatically to inform y...   \n",
       "960  In the first year of a regular two year sessio...   \n",
       "990  .. Wilma had a very perverted idea, that gave ...   \n",
       "997  This warning is sent automatically to inform y...   \n",
       "\n",
       "                                            prediction entities  \n",
       "1    {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "65   {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "66   {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "73   {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "110  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "126  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "157  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "207  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "208  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "211  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "216  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "263  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "264  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "267  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "323  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "350  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "378  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "444  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "517  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "547  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "584  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "598  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "649  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "677  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "713  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "724                                                 {}       []  \n",
       "745  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "753  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "826  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "828  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "843  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "885  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "902  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "912  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "920  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "929  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "957  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "960  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "990  {'persons': [], 'dates': [], 'locations': [], ...       []  \n",
       "997  {'persons': [], 'dates': [], 'locations': [], ...       []  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop records where no prediction\n",
    "\n",
    "ner_df[ner_df[\"entities\"].str.len() == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f43590a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "      <th>entities</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{'persons': ['Dale', 'Leslie'], 'dates': [], '...</td>\n",
       "      <td>[{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{'persons': ['Chris', 'Hector'], 'dates': [], ...</td>\n",
       "      <td>[{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{'persons': ['Lisa Gang', 'Bill Rust'], 'dates...</td>\n",
       "      <td>[{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>&lt;1581542.1075842436127.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>What are some legal issues we should be aware ...</td>\n",
       "      <td>{'persons': ['EdChang', 'Sylvia Hu'], 'dates':...</td>\n",
       "      <td>[{'word': 'EdChang', 'tag': 'PERSON'}, {'word'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>&lt;27137131.1075860883651.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached is the land use category and constrai...</td>\n",
       "      <td>{'persons': ['Jon Alstad', 'Scott J. Patti'], ...</td>\n",
       "      <td>[{'word': 'Jon Alstad', 'tag': 'PERSON'}, {'wo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{'persons': ['Tina Tate', 'Debra Davidson'], '...</td>\n",
       "      <td>[{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{'persons': ['Bob', 'Becky'], 'dates': [], 'lo...</td>\n",
       "      <td>[{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{'persons': ['John Morris'], 'dates': ['Thursd...</td>\n",
       "      <td>[{'word': 'John Morris', 'tag': 'PERSON'}, {'w...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>960 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "5     <1581542.1075842436127.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "994  <27137131.1075860883651.JavaMail.evans@thyme>   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "5    What are some legal issues we should be aware ...   \n",
       "..                                                 ...   \n",
       "994  Attached is the land use category and constrai...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \\\n",
       "0    {'persons': ['Dale', 'Leslie'], 'dates': [], '...   \n",
       "2    {'persons': ['Chris', 'Hector'], 'dates': [], ...   \n",
       "3    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "4    {'persons': ['Lisa Gang', 'Bill Rust'], 'dates...   \n",
       "5    {'persons': ['EdChang', 'Sylvia Hu'], 'dates':...   \n",
       "..                                                 ...   \n",
       "994  {'persons': ['Jon Alstad', 'Scott J. Patti'], ...   \n",
       "995  {'persons': ['Tina Tate', 'Debra Davidson'], '...   \n",
       "996  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "998  {'persons': ['Bob', 'Becky'], 'dates': [], 'lo...   \n",
       "999  {'persons': ['John Morris'], 'dates': ['Thursd...   \n",
       "\n",
       "                                              entities  \n",
       "0    [{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...  \n",
       "2    [{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...  \n",
       "3    [{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...  \n",
       "4    [{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...  \n",
       "5    [{'word': 'EdChang', 'tag': 'PERSON'}, {'word'...  \n",
       "..                                                 ...  \n",
       "994  [{'word': 'Jon Alstad', 'tag': 'PERSON'}, {'wo...  \n",
       "995  [{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...  \n",
       "996  [{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...  \n",
       "998  [{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...  \n",
       "999  [{'word': 'John Morris', 'tag': 'PERSON'}, {'w...  \n",
       "\n",
       "[960 rows x 4 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ner_df = ner_df[ner_df[\"entities\"].str.len() != 0]\n",
    "ner_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "79aaf7b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_tuples(entities):\n",
    "    \"\"\"\n",
    "    Convert list of entities\n",
    "    to tuples\n",
    "    \"\"\"\n",
    "    entities = [\n",
    "        (x[\"word\"], x[\"tag\"])\n",
    "            for x in entities\n",
    "    ]\n",
    "    return entities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "51d87f80",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'word': 'Dale', 'tag': 'PERSON'}, {'word': 'Leslie', 'tag': 'PERSON'}, {'word': 'NYISO', 'tag': 'LOCATION'}]\n"
     ]
    }
   ],
   "source": [
    "sample_entities = ner_df[\"entities\"].iloc[0]\n",
    "print(sample_entities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "248218d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Dale', 'PERSON'), ('Leslie', 'PERSON'), ('NYISO', 'LOCATION')]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "to_tuples(sample_entities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4b859f8b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████| 960/960 [00:00<00:00, 217485.79it/s]\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "      <th>entities</th>\n",
       "      <th>annotation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{'persons': ['Dale', 'Leslie'], 'dates': [], '...</td>\n",
       "      <td>[{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>[(Dale, PERSON), (Leslie, PERSON), (NYISO, LOC...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{'persons': ['Chris', 'Hector'], 'dates': [], ...</td>\n",
       "      <td>[{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Chris, PERSON), (Hector, PERSON), (New York,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...</td>\n",
       "      <td>[(Platts, ORG), (The McGraw Hill Companies, ORG)]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{'persons': ['Lisa Gang', 'Bill Rust'], 'dates...</td>\n",
       "      <td>[{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>[(Lisa Gang, PERSON), (Bill Rust, PERSON), (06...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>&lt;1581542.1075842436127.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>What are some legal issues we should be aware ...</td>\n",
       "      <td>{'persons': ['EdChang', 'Sylvia Hu'], 'dates':...</td>\n",
       "      <td>[{'word': 'EdChang', 'tag': 'PERSON'}, {'word'...</td>\n",
       "      <td>[(EdChang, PERSON), (Sylvia Hu, PERSON), (Tues...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>&lt;27137131.1075860883651.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached is the land use category and constrai...</td>\n",
       "      <td>{'persons': ['Jon Alstad', 'Scott J. Patti'], ...</td>\n",
       "      <td>[{'word': 'Jon Alstad', 'tag': 'PERSON'}, {'wo...</td>\n",
       "      <td>[(Jon Alstad, PERSON), (Scott J. Patti, PERSON...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{'persons': ['Tina Tate', 'Debra Davidson'], '...</td>\n",
       "      <td>[{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>[(Tina Tate, PERSON), (Debra Davidson, PERSON)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...</td>\n",
       "      <td>[(iBuyit Payables, ORG), (iBuyitPayables, ORG)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{'persons': ['Bob', 'Becky'], 'dates': [], 'lo...</td>\n",
       "      <td>[{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...</td>\n",
       "      <td>[(Bob, PERSON), (Becky, PERSON), (Enron, ORG)]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{'persons': ['John Morris'], 'dates': ['Thursd...</td>\n",
       "      <td>[{'word': 'John Morris', 'tag': 'PERSON'}, {'w...</td>\n",
       "      <td>[(John Morris, PERSON), (Thursday afternoon, D...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>960 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "5     <1581542.1075842436127.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "994  <27137131.1075860883651.JavaMail.evans@thyme>   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "5    What are some legal issues we should be aware ...   \n",
       "..                                                 ...   \n",
       "994  Attached is the land use category and constrai...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \\\n",
       "0    {'persons': ['Dale', 'Leslie'], 'dates': [], '...   \n",
       "2    {'persons': ['Chris', 'Hector'], 'dates': [], ...   \n",
       "3    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "4    {'persons': ['Lisa Gang', 'Bill Rust'], 'dates...   \n",
       "5    {'persons': ['EdChang', 'Sylvia Hu'], 'dates':...   \n",
       "..                                                 ...   \n",
       "994  {'persons': ['Jon Alstad', 'Scott J. Patti'], ...   \n",
       "995  {'persons': ['Tina Tate', 'Debra Davidson'], '...   \n",
       "996  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "998  {'persons': ['Bob', 'Becky'], 'dates': [], 'lo...   \n",
       "999  {'persons': ['John Morris'], 'dates': ['Thursd...   \n",
       "\n",
       "                                              entities  \\\n",
       "0    [{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...   \n",
       "2    [{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...   \n",
       "3    [{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...   \n",
       "4    [{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...   \n",
       "5    [{'word': 'EdChang', 'tag': 'PERSON'}, {'word'...   \n",
       "..                                                 ...   \n",
       "994  [{'word': 'Jon Alstad', 'tag': 'PERSON'}, {'wo...   \n",
       "995  [{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...   \n",
       "996  [{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...   \n",
       "998  [{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...   \n",
       "999  [{'word': 'John Morris', 'tag': 'PERSON'}, {'w...   \n",
       "\n",
       "                                            annotation  \n",
       "0    [(Dale, PERSON), (Leslie, PERSON), (NYISO, LOC...  \n",
       "2    [(Chris, PERSON), (Hector, PERSON), (New York,...  \n",
       "3    [(Platts, ORG), (The McGraw Hill Companies, ORG)]  \n",
       "4    [(Lisa Gang, PERSON), (Bill Rust, PERSON), (06...  \n",
       "5    [(EdChang, PERSON), (Sylvia Hu, PERSON), (Tues...  \n",
       "..                                                 ...  \n",
       "994  [(Jon Alstad, PERSON), (Scott J. Patti, PERSON...  \n",
       "995  [(Tina Tate, PERSON), (Debra Davidson, PERSON)...  \n",
       "996  [(iBuyit Payables, ORG), (iBuyitPayables, ORG)...  \n",
       "998     [(Bob, PERSON), (Becky, PERSON), (Enron, ORG)]  \n",
       "999  [(John Morris, PERSON), (Thursday afternoon, D...  \n",
       "\n",
       "[960 rows x 5 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ner_df[\"annotation\"] = ner_df[\"entities\"].progress_apply(lambda x: to_tuples(x))\n",
    "ner_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "02560a01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Dale', 'PERSON'),\n",
       " ('Leslie', 'PERSON'),\n",
       " ('NYISO', 'LOCATION'),\n",
       " ('Chris', 'PERSON'),\n",
       " ('Hector', 'PERSON')]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annotation_lst = ner_df[\"annotation\"].tolist()\n",
    "annotations = [item for sublist in annotation_lst for item in sublist]\n",
    "annotations[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "3b6c4f3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>PERSON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hector</td>\n",
       "      <td>PERSON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5367</th>\n",
       "      <td>Enron</td>\n",
       "      <td>ORG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5368</th>\n",
       "      <td>John Morris</td>\n",
       "      <td>PERSON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5369</th>\n",
       "      <td>Thursday afternoon</td>\n",
       "      <td>DATE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5370</th>\n",
       "      <td>Washington, DC</td>\n",
       "      <td>LOCATION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5371</th>\n",
       "      <td>Economists Incorporated</td>\n",
       "      <td>ORG</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5372 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         word     label\n",
       "0                        Dale    PERSON\n",
       "1                      Leslie    PERSON\n",
       "2                       NYISO  LOCATION\n",
       "3                       Chris    PERSON\n",
       "4                      Hector    PERSON\n",
       "...                       ...       ...\n",
       "5367                    Enron       ORG\n",
       "5368              John Morris    PERSON\n",
       "5369       Thursday afternoon      DATE\n",
       "5370           Washington, DC  LOCATION\n",
       "5371  Economists Incorporated       ORG\n",
       "\n",
       "[5372 rows x 2 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annot_df = pd.DataFrame(annotations, columns=['word', 'label'])\n",
    "annot_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b4cbf1ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PERSON      2337\n",
       "ORG         1411\n",
       "DATE         874\n",
       "LOCATION     750\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annot_df[\"label\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "700b3a2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PERSON</td>\n",
       "      <td>2337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ORG</td>\n",
       "      <td>1411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DATE</td>\n",
       "      <td>874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LOCATION</td>\n",
       "      <td>750</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      label  count\n",
       "0    PERSON   2337\n",
       "1       ORG   1411\n",
       "2      DATE    874\n",
       "3  LOCATION    750"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "entity_stats = annot_df['label'].value_counts().rename_axis('label').reset_index(name='count')\n",
    "entity_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b30f4fe2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Label')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x700 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(15, 7))\n",
    "entity_stats.plot(x='label', y='count', kind='bar', legend=False, grid=True, figsize=(8, 5), rot=45)\n",
    "plt.title(\"Number of records in each label\", fontsize=14)\n",
    "plt.ylabel('Number of occurencies', fontsize=14)\n",
    "plt.xlabel('Label', fontsize=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "f4d161e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "      <th>entities</th>\n",
       "      <th>annotation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{'persons': ['Dale', 'Leslie'], 'dates': [], '...</td>\n",
       "      <td>[{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>[(Dale, PERSON), (Leslie, PERSON), (NYISO, LOC...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{'persons': ['Chris', 'Hector'], 'dates': [], ...</td>\n",
       "      <td>[{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Chris, PERSON), (Hector, PERSON), (New York,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...</td>\n",
       "      <td>[(Platts, ORG), (The McGraw Hill Companies, ORG)]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{'persons': ['Lisa Gang', 'Bill Rust'], 'dates...</td>\n",
       "      <td>[{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>[(Lisa Gang, PERSON), (Bill Rust, PERSON), (06...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>&lt;1581542.1075842436127.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>What are some legal issues we should be aware ...</td>\n",
       "      <td>{'persons': ['EdChang', 'Sylvia Hu'], 'dates':...</td>\n",
       "      <td>[{'word': 'EdChang', 'tag': 'PERSON'}, {'word'...</td>\n",
       "      <td>[(EdChang, PERSON), (Sylvia Hu, PERSON), (Tues...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>&lt;27137131.1075860883651.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached is the land use category and constrai...</td>\n",
       "      <td>{'persons': ['Jon Alstad', 'Scott J. Patti'], ...</td>\n",
       "      <td>[{'word': 'Jon Alstad', 'tag': 'PERSON'}, {'wo...</td>\n",
       "      <td>[(Jon Alstad, PERSON), (Scott J. Patti, PERSON...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{'persons': ['Tina Tate', 'Debra Davidson'], '...</td>\n",
       "      <td>[{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>[(Tina Tate, PERSON), (Debra Davidson, PERSON)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...</td>\n",
       "      <td>[(iBuyit Payables, ORG), (iBuyitPayables, ORG)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{'persons': ['Bob', 'Becky'], 'dates': [], 'lo...</td>\n",
       "      <td>[{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...</td>\n",
       "      <td>[(Bob, PERSON), (Becky, PERSON), (Enron, ORG)]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{'persons': ['John Morris'], 'dates': ['Thursd...</td>\n",
       "      <td>[{'word': 'John Morris', 'tag': 'PERSON'}, {'w...</td>\n",
       "      <td>[(John Morris, PERSON), (Thursday afternoon, D...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>960 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "5     <1581542.1075842436127.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "994  <27137131.1075860883651.JavaMail.evans@thyme>   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "5    What are some legal issues we should be aware ...   \n",
       "..                                                 ...   \n",
       "994  Attached is the land use category and constrai...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \\\n",
       "0    {'persons': ['Dale', 'Leslie'], 'dates': [], '...   \n",
       "2    {'persons': ['Chris', 'Hector'], 'dates': [], ...   \n",
       "3    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "4    {'persons': ['Lisa Gang', 'Bill Rust'], 'dates...   \n",
       "5    {'persons': ['EdChang', 'Sylvia Hu'], 'dates':...   \n",
       "..                                                 ...   \n",
       "994  {'persons': ['Jon Alstad', 'Scott J. Patti'], ...   \n",
       "995  {'persons': ['Tina Tate', 'Debra Davidson'], '...   \n",
       "996  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "998  {'persons': ['Bob', 'Becky'], 'dates': [], 'lo...   \n",
       "999  {'persons': ['John Morris'], 'dates': ['Thursd...   \n",
       "\n",
       "                                              entities  \\\n",
       "0    [{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...   \n",
       "2    [{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...   \n",
       "3    [{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...   \n",
       "4    [{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...   \n",
       "5    [{'word': 'EdChang', 'tag': 'PERSON'}, {'word'...   \n",
       "..                                                 ...   \n",
       "994  [{'word': 'Jon Alstad', 'tag': 'PERSON'}, {'wo...   \n",
       "995  [{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...   \n",
       "996  [{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...   \n",
       "998  [{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...   \n",
       "999  [{'word': 'John Morris', 'tag': 'PERSON'}, {'w...   \n",
       "\n",
       "                                            annotation  \n",
       "0    [(Dale, PERSON), (Leslie, PERSON), (NYISO, LOC...  \n",
       "2    [(Chris, PERSON), (Hector, PERSON), (New York,...  \n",
       "3    [(Platts, ORG), (The McGraw Hill Companies, ORG)]  \n",
       "4    [(Lisa Gang, PERSON), (Bill Rust, PERSON), (06...  \n",
       "5    [(EdChang, PERSON), (Sylvia Hu, PERSON), (Tues...  \n",
       "..                                                 ...  \n",
       "994  [(Jon Alstad, PERSON), (Scott J. Patti, PERSON...  \n",
       "995  [(Tina Tate, PERSON), (Debra Davidson, PERSON)...  \n",
       "996  [(iBuyit Payables, ORG), (iBuyitPayables, ORG)...  \n",
       "998     [(Bob, PERSON), (Becky, PERSON), (Enron, ORG)]  \n",
       "999  [(John Morris, PERSON), (Thursday afternoon, D...  \n",
       "\n",
       "[960 rows x 5 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ner_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0b09193e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# Split dataset into train 80%, and 20% as validation & test\n",
    "train, temp = train_test_split(\n",
    "    ner_df, train_size=0.80, random_state=42\n",
    ")\n",
    "\n",
    "# Generate validation, test from temporary dataframe\n",
    "val, test = train_test_split(\n",
    "    temp, test_size=0.5, random_state=42\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "61093692",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768, 96, 96)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train), len(val), len(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "261df182",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "      <th>entities</th>\n",
       "      <th>annotation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>&lt;11792830.1075859955495.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Good catch.  NY law should apply throughout th...</td>\n",
       "      <td>{'persons': ['Leonardo Pacheco'], 'dates': [],...</td>\n",
       "      <td>[{'word': 'Leonardo Pacheco', 'tag': 'PERSON'}...</td>\n",
       "      <td>[(Leonardo Pacheco, PERSON), (NY, LOCATION), (...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>&lt;16461482.1075846947944.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Tana,\\nWow, you are really on the ball.  Looks...</td>\n",
       "      <td>{'persons': ['Tana', 'Matthias', 'Karin', 'Ste...</td>\n",
       "      <td>[{'word': 'Tana', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>[(Tana, PERSON), (Matthias, PERSON), (Karin, P...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>&lt;27347038.1075842439828.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>I am very pleased to announce that L.D. Stephe...</td>\n",
       "      <td>{'persons': ['L.D. Stephens', 'Enron', 'John D...</td>\n",
       "      <td>[{'word': 'L.D. Stephens', 'tag': 'PERSON'}, {...</td>\n",
       "      <td>[(L.D. Stephens, PERSON), (Enron, PERSON), (Jo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>&lt;22015863.1075844739388.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Chris:\\n\\nWe should chat.  Per the ISDA, ENA i...</td>\n",
       "      <td>{'persons': ['Chris H Foster', 'Sara Shackleto...</td>\n",
       "      <td>[{'word': 'Chris H Foster', 'tag': 'PERSON'}, ...</td>\n",
       "      <td>[(Chris H Foster, PERSON), (Sara Shackleton, P...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>&lt;27358009.1075862249772.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>I have made additional changes on pages 11-12 ...</td>\n",
       "      <td>{'persons': ['Mark Mayer', 'BPA', 'Dick O'Niel...</td>\n",
       "      <td>[{'word': 'Mark Mayer', 'tag': 'PERSON'}, {'wo...</td>\n",
       "      <td>[(Mark Mayer, PERSON), (BPA, PERSON), (Dick O'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>&lt;23887193.1075840960293.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>We plan to have a conference call at 2pm Sunda...</td>\n",
       "      <td>{'persons': ['David', 'Tammie', 'John', 'Louis...</td>\n",
       "      <td>[{'word': 'David', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(David, PERSON), (Tammie, PERSON), (John, PER...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>&lt;12852426.1075844351646.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached in WordPerfect are blacklines of the ...</td>\n",
       "      <td>{'persons': ['Deborah Lowe'], 'dates': [], 'lo...</td>\n",
       "      <td>[{'word': 'Deborah Lowe', 'tag': 'PERSON'}, {'...</td>\n",
       "      <td>[(Deborah Lowe, PERSON), (1717 Main Street, Su...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>&lt;685271.1075852754266.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>We intend to start officializing a gas book fo...</td>\n",
       "      <td>{'persons': ['Kathy', 'McKay'], 'dates': ['Jul...</td>\n",
       "      <td>[{'word': 'Kathy', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Kathy, PERSON), (McKay, PERSON), (July 3rd, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>&lt;3384182.1075849303276.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>We are very close to sending out a redline.? A...</td>\n",
       "      <td>{'persons': ['Linda Y. Sherif'], 'dates': [], ...</td>\n",
       "      <td>[{'word': 'Linda Y. Sherif', 'tag': 'PERSON'},...</td>\n",
       "      <td>[(Linda Y. Sherif, PERSON), (120 Montgomery St...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>&lt;2826937.1075862373832.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>The attached press release is the latest draft...</td>\n",
       "      <td>{'persons': ['Enron', 'Citigroup', 'JPMorgan',...</td>\n",
       "      <td>[{'word': 'Enron', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Enron, PERSON), (Citigroup, PERSON), (JPMorg...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>768 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "316  <11792830.1075859955495.JavaMail.evans@thyme>   \n",
       "485  <16461482.1075846947944.JavaMail.evans@thyme>   \n",
       "308  <27347038.1075842439828.JavaMail.evans@thyme>   \n",
       "568  <22015863.1075844739388.JavaMail.evans@thyme>   \n",
       "483  <27358009.1075862249772.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "111  <23887193.1075840960293.JavaMail.evans@thyme>   \n",
       "284  <12852426.1075844351646.JavaMail.evans@thyme>   \n",
       "892    <685271.1075852754266.JavaMail.evans@thyme>   \n",
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       "\n",
       "                                                  text  \\\n",
       "316  Good catch.  NY law should apply throughout th...   \n",
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       "308  I am very pleased to announce that L.D. Stephe...   \n",
       "568  Chris:\\n\\nWe should chat.  Per the ISDA, ENA i...   \n",
       "483  I have made additional changes on pages 11-12 ...   \n",
       "..                                                 ...   \n",
       "111  We plan to have a conference call at 2pm Sunda...   \n",
       "284  Attached in WordPerfect are blacklines of the ...   \n",
       "892  We intend to start officializing a gas book fo...   \n",
       "453  We are very close to sending out a redline.? A...   \n",
       "106  The attached press release is the latest draft...   \n",
       "\n",
       "                                            prediction  \\\n",
       "316  {'persons': ['Leonardo Pacheco'], 'dates': [],...   \n",
       "485  {'persons': ['Tana', 'Matthias', 'Karin', 'Ste...   \n",
       "308  {'persons': ['L.D. Stephens', 'Enron', 'John D...   \n",
       "568  {'persons': ['Chris H Foster', 'Sara Shackleto...   \n",
       "483  {'persons': ['Mark Mayer', 'BPA', 'Dick O'Niel...   \n",
       "..                                                 ...   \n",
       "111  {'persons': ['David', 'Tammie', 'John', 'Louis...   \n",
       "284  {'persons': ['Deborah Lowe'], 'dates': [], 'lo...   \n",
       "892  {'persons': ['Kathy', 'McKay'], 'dates': ['Jul...   \n",
       "453  {'persons': ['Linda Y. Sherif'], 'dates': [], ...   \n",
       "106  {'persons': ['Enron', 'Citigroup', 'JPMorgan',...   \n",
       "\n",
       "                                              entities  \\\n",
       "316  [{'word': 'Leonardo Pacheco', 'tag': 'PERSON'}...   \n",
       "485  [{'word': 'Tana', 'tag': 'PERSON'}, {'word': '...   \n",
       "308  [{'word': 'L.D. Stephens', 'tag': 'PERSON'}, {...   \n",
       "568  [{'word': 'Chris H Foster', 'tag': 'PERSON'}, ...   \n",
       "483  [{'word': 'Mark Mayer', 'tag': 'PERSON'}, {'wo...   \n",
       "..                                                 ...   \n",
       "111  [{'word': 'David', 'tag': 'PERSON'}, {'word': ...   \n",
       "284  [{'word': 'Deborah Lowe', 'tag': 'PERSON'}, {'...   \n",
       "892  [{'word': 'Kathy', 'tag': 'PERSON'}, {'word': ...   \n",
       "453  [{'word': 'Linda Y. Sherif', 'tag': 'PERSON'},...   \n",
       "106  [{'word': 'Enron', 'tag': 'PERSON'}, {'word': ...   \n",
       "\n",
       "                                            annotation  \n",
       "316  [(Leonardo Pacheco, PERSON), (NY, LOCATION), (...  \n",
       "485  [(Tana, PERSON), (Matthias, PERSON), (Karin, P...  \n",
       "308  [(L.D. Stephens, PERSON), (Enron, PERSON), (Jo...  \n",
       "568  [(Chris H Foster, PERSON), (Sara Shackleton, P...  \n",
       "483  [(Mark Mayer, PERSON), (BPA, PERSON), (Dick O'...  \n",
       "..                                                 ...  \n",
       "111  [(David, PERSON), (Tammie, PERSON), (John, PER...  \n",
       "284  [(Deborah Lowe, PERSON), (1717 Main Street, Su...  \n",
       "892  [(Kathy, PERSON), (McKay, PERSON), (July 3rd, ...  \n",
       "453  [(Linda Y. Sherif, PERSON), (120 Montgomery St...  \n",
       "106  [(Enron, PERSON), (Citigroup, PERSON), (JPMorg...  \n",
       "\n",
       "[768 rows x 5 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "7d02d068",
   "metadata": {},
   "outputs": [
    {
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       "      <th>659</th>\n",
       "      <td>&lt;18050053.1075859962876.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Al:\\n\\nPer my voice mail, I have left a messag...</td>\n",
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       "      <th>397</th>\n",
       "      <td>&lt;31623156.1075845089208.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>To all,\\n\\nI visited with Kam earlier today to...</td>\n",
       "      <td>{'persons': ['Kam', 'Pete', 'Scott', 'LRC/Stri...</td>\n",
       "      <td>[{'word': 'Kam', 'tag': 'PERSON'}, {'word': 'P...</td>\n",
       "      <td>[(Kam, PERSON), (Pete, PERSON), (Scott, PERSON...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>&lt;24135778.1075846138474.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Beth, Mark - \\n\\nI think we are ready to move ...</td>\n",
       "      <td>{'persons': ['Beth', 'Mark', 'Steve Woods', 'H...</td>\n",
       "      <td>[{'word': 'Beth', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>[(Beth, PERSON), (Mark, PERSON), (Steve Woods,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>&lt;9457688.1075861461211.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear Jason Wolfe,\\n\\nWe are happy to inform yo...</td>\n",
       "      <td>{'persons': ['Jason Wolfe', 'Sergei'], 'dates'...</td>\n",
       "      <td>[{'word': 'Jason Wolfe', 'tag': 'PERSON'}, {'w...</td>\n",
       "      <td>[(Jason Wolfe, PERSON), (Sergei, PERSON), (Oct...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>&lt;26484226.1075855280232.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Scheduling Issue:\\t\\n\\n\\t1024\\tMIRANT(Rala) to...</td>\n",
       "      <td>{'persons': ['Rala', 'Katherine', 'Russell', '...</td>\n",
       "      <td>[{'word': 'Rala', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>[(Rala, PERSON), (Katherine, PERSON), (Russell...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>&lt;10689485.1075851883019.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>?\\n?\\n?\\n?\\n?\\n?\\n?\\n?\\nHi all, Merry Christma...</td>\n",
       "      <td>{'persons': ['Diane'], 'dates': ['Christmas', ...</td>\n",
       "      <td>[{'word': 'Diane', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Diane, PERSON), (Christmas, DATE), (New Year...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>604</th>\n",
       "      <td>&lt;12019737.1075861047362.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>March 13, 2002\\nNotice No. NMS-22\\n\\n\\nNOTICE ...</td>\n",
       "      <td>{'persons': ['Michael Cokeley', 'David Kimmel'...</td>\n",
       "      <td>[{'word': 'Michael Cokeley', 'tag': 'PERSON'},...</td>\n",
       "      <td>[(Michael Cokeley, PERSON), (David Kimmel, PER...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</th>\n",
       "      <td>&lt;31192798.1075842099616.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Steve:\\nI am faxing you our remaining comments...</td>\n",
       "      <td>{'persons': ['Steve', 'DB', 'Carol St. Clair']...</td>\n",
       "      <td>[{'word': 'Steve', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Steve, PERSON), (DB, PERSON), (Carol St. Cla...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>721</th>\n",
       "      <td>&lt;28609896.1075861988637.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Mark,\\n\\nI spoke to the postmaster and she sta...</td>\n",
       "      <td>{'persons': ['Mark', 'Veronica'], 'dates': [],...</td>\n",
       "      <td>[{'word': 'Mark', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>[(Mark, PERSON), (Veronica, PERSON)]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>933</th>\n",
       "      <td>&lt;12936604.1075841300752.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Start Date: 1/20/02; HourAhead hour: 3;  HourA...</td>\n",
       "      <td>{'persons': [], 'dates': ['1/20/02'], 'locatio...</td>\n",
       "      <td>[{'word': '1/20/02', 'tag': 'DATE'}]</td>\n",
       "      <td>[(1/20/02, DATE)]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "659  <18050053.1075859962876.JavaMail.evans@thyme>   \n",
       "397  <31623156.1075845089208.JavaMail.evans@thyme>   \n",
       "820  <24135778.1075846138474.JavaMail.evans@thyme>   \n",
       "480   <9457688.1075861461211.JavaMail.evans@thyme>   \n",
       "280  <26484226.1075855280232.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "279  <10689485.1075851883019.JavaMail.evans@thyme>   \n",
       "604  <12019737.1075861047362.JavaMail.evans@thyme>   \n",
       "537  <31192798.1075842099616.JavaMail.evans@thyme>   \n",
       "721  <28609896.1075861988637.JavaMail.evans@thyme>   \n",
       "933  <12936604.1075841300752.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "659  Al:\\n\\nPer my voice mail, I have left a messag...   \n",
       "397  To all,\\n\\nI visited with Kam earlier today to...   \n",
       "820  Beth, Mark - \\n\\nI think we are ready to move ...   \n",
       "480  Dear Jason Wolfe,\\n\\nWe are happy to inform yo...   \n",
       "280  Scheduling Issue:\\t\\n\\n\\t1024\\tMIRANT(Rala) to...   \n",
       "..                                                 ...   \n",
       "279  ?\\n?\\n?\\n?\\n?\\n?\\n?\\n?\\nHi all, Merry Christma...   \n",
       "604  March 13, 2002\\nNotice No. NMS-22\\n\\n\\nNOTICE ...   \n",
       "537  Steve:\\nI am faxing you our remaining comments...   \n",
       "721  Mark,\\n\\nI spoke to the postmaster and she sta...   \n",
       "933  Start Date: 1/20/02; HourAhead hour: 3;  HourA...   \n",
       "\n",
       "                                            prediction  \\\n",
       "659  {'persons': ['Al', 'Mark', 'Alfred Pennisi'], ...   \n",
       "397  {'persons': ['Kam', 'Pete', 'Scott', 'LRC/Stri...   \n",
       "820  {'persons': ['Beth', 'Mark', 'Steve Woods', 'H...   \n",
       "480  {'persons': ['Jason Wolfe', 'Sergei'], 'dates'...   \n",
       "280  {'persons': ['Rala', 'Katherine', 'Russell', '...   \n",
       "..                                                 ...   \n",
       "279  {'persons': ['Diane'], 'dates': ['Christmas', ...   \n",
       "604  {'persons': ['Michael Cokeley', 'David Kimmel'...   \n",
       "537  {'persons': ['Steve', 'DB', 'Carol St. Clair']...   \n",
       "721  {'persons': ['Mark', 'Veronica'], 'dates': [],...   \n",
       "933  {'persons': [], 'dates': ['1/20/02'], 'locatio...   \n",
       "\n",
       "                                              entities  \\\n",
       "659  [{'word': 'Al', 'tag': 'PERSON'}, {'word': 'Ma...   \n",
       "397  [{'word': 'Kam', 'tag': 'PERSON'}, {'word': 'P...   \n",
       "820  [{'word': 'Beth', 'tag': 'PERSON'}, {'word': '...   \n",
       "480  [{'word': 'Jason Wolfe', 'tag': 'PERSON'}, {'w...   \n",
       "280  [{'word': 'Rala', 'tag': 'PERSON'}, {'word': '...   \n",
       "..                                                 ...   \n",
       "279  [{'word': 'Diane', 'tag': 'PERSON'}, {'word': ...   \n",
       "604  [{'word': 'Michael Cokeley', 'tag': 'PERSON'},...   \n",
       "537  [{'word': 'Steve', 'tag': 'PERSON'}, {'word': ...   \n",
       "721  [{'word': 'Mark', 'tag': 'PERSON'}, {'word': '...   \n",
       "933               [{'word': '1/20/02', 'tag': 'DATE'}]   \n",
       "\n",
       "                                            annotation  \n",
       "659  [(Al, PERSON), (Mark, PERSON), (Alfred Pennisi...  \n",
       "397  [(Kam, PERSON), (Pete, PERSON), (Scott, PERSON...  \n",
       "820  [(Beth, PERSON), (Mark, PERSON), (Steve Woods,...  \n",
       "480  [(Jason Wolfe, PERSON), (Sergei, PERSON), (Oct...  \n",
       "280  [(Rala, PERSON), (Katherine, PERSON), (Russell...  \n",
       "..                                                 ...  \n",
       "279  [(Diane, PERSON), (Christmas, DATE), (New Year...  \n",
       "604  [(Michael Cokeley, PERSON), (David Kimmel, PER...  \n",
       "537  [(Steve, PERSON), (DB, PERSON), (Carol St. Cla...  \n",
       "721               [(Mark, PERSON), (Veronica, PERSON)]  \n",
       "933                                  [(1/20/02, DATE)]  \n",
       "\n",
       "[96 rows x 5 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1b2e6e02",
   "metadata": {},
   "outputs": [
    {
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       "      <th>message_id</th>\n",
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       "      <th>983</th>\n",
       "      <td>&lt;15886210.1075854965508.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Allright fellas here's the gameplan . . . I'll...</td>\n",
       "      <td>{'persons': ['Kevin A. Boone', 'Matt'], 'dates...</td>\n",
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       "      <td>[(Kevin A. Boone, PERSON), (Matt, PERSON), (Ac...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>&lt;17217905.1075853978006.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Tina,\\nKoch never returned my calls. Based on ...</td>\n",
       "      <td>{'persons': ['Tina', 'Koch', 'Cyndie'], 'dates...</td>\n",
       "      <td>[{'word': 'Tina', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>[(Tina, PERSON), (Koch, PERSON), (Cyndie, PERS...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>&lt;28372483.1075843343800.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>I wanted to follow-up with everyone following ...</td>\n",
       "      <td>{'persons': ['Steve M', 'Janine', 'Jeff', 'Roy...</td>\n",
       "      <td>[{'word': 'Steve M', 'tag': 'PERSON'}, {'word'...</td>\n",
       "      <td>[(Steve M, PERSON), (Janine, PERSON), (Jeff, P...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>&lt;7553175.1075863444700.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Vince,\\n\\n  I agree with you that it's a lesso...</td>\n",
       "      <td>{'persons': ['Vince', 'Frank'], 'dates': [], '...</td>\n",
       "      <td>[{'word': 'Vince', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Vince, PERSON), (Frank, PERSON), (Sacramento...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>744</th>\n",
       "      <td>&lt;16687289.1075862330552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>I trust everything is going well.  Please let ...</td>\n",
       "      <td>{'persons': [], 'dates': ['next Board meeting'...</td>\n",
       "      <td>[{'word': 'next Board meeting', 'tag': 'DATE'}...</td>\n",
       "      <td>[(next Board meeting, DATE), (2001, DATE), (De...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <th>597</th>\n",
       "      <td>&lt;17780105.1075840540168.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Heidi,\\n\\nI have no way of being able to discu...</td>\n",
       "      <td>{'persons': ['Heidi', 'Randall Chapman'], 'dat...</td>\n",
       "      <td>[{'word': 'Heidi', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Heidi, PERSON), (Randall Chapman, PERSON), (...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784</th>\n",
       "      <td>&lt;16492427.1075847631885.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Teh rest of the parts for Phil's PC arrived to...</td>\n",
       "      <td>{'persons': ['Phil', 'Kathy', 'Alan', 'Timothy...</td>\n",
       "      <td>[{'word': 'Phil', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>[(Phil, PERSON), (Kathy, PERSON), (Alan, PERSO...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>&lt;11901989.1075844026014.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hey guys thanks a million for supporting the g...</td>\n",
       "      <td>{'persons': [], 'dates': ['Next Wednesday Augu...</td>\n",
       "      <td>[{'word': 'Next Wednesday August 16th', 'tag':...</td>\n",
       "      <td>[(Next Wednesday August 16th, DATE), (41st flo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>&lt;17922592.1075839996237.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Keoni,\\nI am not concerned with the improperly...</td>\n",
       "      <td>{'persons': ['Keoni', 'Bill'], 'dates': [], 'l...</td>\n",
       "      <td>[{'word': 'Keoni', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Keoni, PERSON), (Bill, PERSON), (CAISO, ORG)]</td>\n",
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       "    <tr>\n",
       "      <th>867</th>\n",
       "      <td>&lt;26340375.1075840808386.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>I will be circulating in the next few minutes ...</td>\n",
       "      <td>{'persons': ['Cris Sherman', 'Theresa Vos', 'S...</td>\n",
       "      <td>[{'word': 'Cris Sherman', 'tag': 'PERSON'}, {'...</td>\n",
       "      <td>[(Cris Sherman, PERSON), (Theresa Vos, PERSON)...</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 5 columns</p>\n",
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      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "983  <15886210.1075854965508.JavaMail.evans@thyme>   \n",
       "115  <17217905.1075853978006.JavaMail.evans@thyme>   \n",
       "92   <28372483.1075843343800.JavaMail.evans@thyme>   \n",
       "382   <7553175.1075863444700.JavaMail.evans@thyme>   \n",
       "744  <16687289.1075862330552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "597  <17780105.1075840540168.JavaMail.evans@thyme>   \n",
       "784  <16492427.1075847631885.JavaMail.evans@thyme>   \n",
       "790  <11901989.1075844026014.JavaMail.evans@thyme>   \n",
       "320  <17922592.1075839996237.JavaMail.evans@thyme>   \n",
       "867  <26340375.1075840808386.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "983  Allright fellas here's the gameplan . . . I'll...   \n",
       "115  Tina,\\nKoch never returned my calls. Based on ...   \n",
       "92   I wanted to follow-up with everyone following ...   \n",
       "382  Vince,\\n\\n  I agree with you that it's a lesso...   \n",
       "744  I trust everything is going well.  Please let ...   \n",
       "..                                                 ...   \n",
       "597  Heidi,\\n\\nI have no way of being able to discu...   \n",
       "784  Teh rest of the parts for Phil's PC arrived to...   \n",
       "790  Hey guys thanks a million for supporting the g...   \n",
       "320  Keoni,\\nI am not concerned with the improperly...   \n",
       "867  I will be circulating in the next few minutes ...   \n",
       "\n",
       "                                            prediction  \\\n",
       "983  {'persons': ['Kevin A. Boone', 'Matt'], 'dates...   \n",
       "115  {'persons': ['Tina', 'Koch', 'Cyndie'], 'dates...   \n",
       "92   {'persons': ['Steve M', 'Janine', 'Jeff', 'Roy...   \n",
       "382  {'persons': ['Vince', 'Frank'], 'dates': [], '...   \n",
       "744  {'persons': [], 'dates': ['next Board meeting'...   \n",
       "..                                                 ...   \n",
       "597  {'persons': ['Heidi', 'Randall Chapman'], 'dat...   \n",
       "784  {'persons': ['Phil', 'Kathy', 'Alan', 'Timothy...   \n",
       "790  {'persons': [], 'dates': ['Next Wednesday Augu...   \n",
       "320  {'persons': ['Keoni', 'Bill'], 'dates': [], 'l...   \n",
       "867  {'persons': ['Cris Sherman', 'Theresa Vos', 'S...   \n",
       "\n",
       "                                              entities  \\\n",
       "983  [{'word': 'Kevin A. Boone', 'tag': 'PERSON'}, ...   \n",
       "115  [{'word': 'Tina', 'tag': 'PERSON'}, {'word': '...   \n",
       "92   [{'word': 'Steve M', 'tag': 'PERSON'}, {'word'...   \n",
       "382  [{'word': 'Vince', 'tag': 'PERSON'}, {'word': ...   \n",
       "744  [{'word': 'next Board meeting', 'tag': 'DATE'}...   \n",
       "..                                                 ...   \n",
       "597  [{'word': 'Heidi', 'tag': 'PERSON'}, {'word': ...   \n",
       "784  [{'word': 'Phil', 'tag': 'PERSON'}, {'word': '...   \n",
       "790  [{'word': 'Next Wednesday August 16th', 'tag':...   \n",
       "320  [{'word': 'Keoni', 'tag': 'PERSON'}, {'word': ...   \n",
       "867  [{'word': 'Cris Sherman', 'tag': 'PERSON'}, {'...   \n",
       "\n",
       "                                            annotation  \n",
       "983  [(Kevin A. Boone, PERSON), (Matt, PERSON), (Ac...  \n",
       "115  [(Tina, PERSON), (Koch, PERSON), (Cyndie, PERS...  \n",
       "92   [(Steve M, PERSON), (Janine, PERSON), (Jeff, P...  \n",
       "382  [(Vince, PERSON), (Frank, PERSON), (Sacramento...  \n",
       "744  [(next Board meeting, DATE), (2001, DATE), (De...  \n",
       "..                                                 ...  \n",
       "597  [(Heidi, PERSON), (Randall Chapman, PERSON), (...  \n",
       "784  [(Phil, PERSON), (Kathy, PERSON), (Alan, PERSO...  \n",
       "790  [(Next Wednesday August 16th, DATE), (41st flo...  \n",
       "320    [(Keoni, PERSON), (Bill, PERSON), (CAISO, ORG)]  \n",
       "867  [(Cris Sherman, PERSON), (Theresa Vos, PERSON)...  \n",
       "\n",
       "[96 rows x 5 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a4a5bb2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Keep only relevant column names message_id, text, entities, annotation\n",
    "\n",
    "train = train[['message_id', 'text', 'entities', 'annotation']]\n",
    "val = val[['message_id', 'text', 'entities', 'annotation']]\n",
    "test = test[['message_id', 'text', 'entities', 'annotation']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "c19d7d98",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>316</th>\n",
       "      <td>&lt;11792830.1075859955495.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Good catch.  NY law should apply throughout th...</td>\n",
       "      <td>[{'word': 'Leonardo Pacheco', 'tag': 'PERSON'}...</td>\n",
       "      <td>[(Leonardo Pacheco, PERSON), (NY, LOCATION), (...</td>\n",
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       "      <th>485</th>\n",
       "      <td>&lt;16461482.1075846947944.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Tana,\\nWow, you are really on the ball.  Looks...</td>\n",
       "      <td>[{'word': 'Tana', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>[(Tana, PERSON), (Matthias, PERSON), (Karin, P...</td>\n",
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       "      <th>308</th>\n",
       "      <td>&lt;27347038.1075842439828.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>I am very pleased to announce that L.D. Stephe...</td>\n",
       "      <td>[{'word': 'L.D. Stephens', 'tag': 'PERSON'}, {...</td>\n",
       "      <td>[(L.D. Stephens, PERSON), (Enron, PERSON), (Jo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>&lt;22015863.1075844739388.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Chris:\\n\\nWe should chat.  Per the ISDA, ENA i...</td>\n",
       "      <td>[{'word': 'Chris H Foster', 'tag': 'PERSON'}, ...</td>\n",
       "      <td>[(Chris H Foster, PERSON), (Sara Shackleton, P...</td>\n",
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       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>&lt;27358009.1075862249772.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>I have made additional changes on pages 11-12 ...</td>\n",
       "      <td>[{'word': 'Mark Mayer', 'tag': 'PERSON'}, {'wo...</td>\n",
       "      <td>[(Mark Mayer, PERSON), (BPA, PERSON), (Dick O'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>&lt;23887193.1075840960293.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>We plan to have a conference call at 2pm Sunda...</td>\n",
       "      <td>[{'word': 'David', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(David, PERSON), (Tammie, PERSON), (John, PER...</td>\n",
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       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>&lt;12852426.1075844351646.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached in WordPerfect are blacklines of the ...</td>\n",
       "      <td>[{'word': 'Deborah Lowe', 'tag': 'PERSON'}, {'...</td>\n",
       "      <td>[(Deborah Lowe, PERSON), (1717 Main Street, Su...</td>\n",
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       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>&lt;685271.1075852754266.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>We intend to start officializing a gas book fo...</td>\n",
       "      <td>[{'word': 'Kathy', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Kathy, PERSON), (McKay, PERSON), (July 3rd, ...</td>\n",
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       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>&lt;3384182.1075849303276.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>We are very close to sending out a redline.? A...</td>\n",
       "      <td>[{'word': 'Linda Y. Sherif', 'tag': 'PERSON'},...</td>\n",
       "      <td>[(Linda Y. Sherif, PERSON), (120 Montgomery St...</td>\n",
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       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>&lt;2826937.1075862373832.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>The attached press release is the latest draft...</td>\n",
       "      <td>[{'word': 'Enron', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Enron, PERSON), (Citigroup, PERSON), (JPMorg...</td>\n",
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       "483  [{'word': 'Mark Mayer', 'tag': 'PERSON'}, {'wo...   \n",
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       "      <td>&lt;12019737.1075861047362.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>March 13, 2002\\nNotice No. NMS-22\\n\\n\\nNOTICE ...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>&lt;11901989.1075844026014.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hey guys thanks a million for supporting the g...</td>\n",
       "      <td>[{'word': 'Next Wednesday August 16th', 'tag':...</td>\n",
       "      <td>[(Next Wednesday August 16th, DATE), (41st flo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>&lt;17922592.1075839996237.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Keoni,\\nI am not concerned with the improperly...</td>\n",
       "      <td>[{'word': 'Keoni', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>[(Keoni, PERSON), (Bill, PERSON), (CAISO, ORG)]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>867</th>\n",
       "      <td>&lt;26340375.1075840808386.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>I will be circulating in the next few minutes ...</td>\n",
       "      <td>[{'word': 'Cris Sherman', 'tag': 'PERSON'}, {'...</td>\n",
       "      <td>[(Cris Sherman, PERSON), (Theresa Vos, PERSON)...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "983  <15886210.1075854965508.JavaMail.evans@thyme>   \n",
       "115  <17217905.1075853978006.JavaMail.evans@thyme>   \n",
       "92   <28372483.1075843343800.JavaMail.evans@thyme>   \n",
       "382   <7553175.1075863444700.JavaMail.evans@thyme>   \n",
       "744  <16687289.1075862330552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "597  <17780105.1075840540168.JavaMail.evans@thyme>   \n",
       "784  <16492427.1075847631885.JavaMail.evans@thyme>   \n",
       "790  <11901989.1075844026014.JavaMail.evans@thyme>   \n",
       "320  <17922592.1075839996237.JavaMail.evans@thyme>   \n",
       "867  <26340375.1075840808386.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "983  Allright fellas here's the gameplan . . . I'll...   \n",
       "115  Tina,\\nKoch never returned my calls. Based on ...   \n",
       "92   I wanted to follow-up with everyone following ...   \n",
       "382  Vince,\\n\\n  I agree with you that it's a lesso...   \n",
       "744  I trust everything is going well.  Please let ...   \n",
       "..                                                 ...   \n",
       "597  Heidi,\\n\\nI have no way of being able to discu...   \n",
       "784  Teh rest of the parts for Phil's PC arrived to...   \n",
       "790  Hey guys thanks a million for supporting the g...   \n",
       "320  Keoni,\\nI am not concerned with the improperly...   \n",
       "867  I will be circulating in the next few minutes ...   \n",
       "\n",
       "                                              entities  \\\n",
       "983  [{'word': 'Kevin A. Boone', 'tag': 'PERSON'}, ...   \n",
       "115  [{'word': 'Tina', 'tag': 'PERSON'}, {'word': '...   \n",
       "92   [{'word': 'Steve M', 'tag': 'PERSON'}, {'word'...   \n",
       "382  [{'word': 'Vince', 'tag': 'PERSON'}, {'word': ...   \n",
       "744  [{'word': 'next Board meeting', 'tag': 'DATE'}...   \n",
       "..                                                 ...   \n",
       "597  [{'word': 'Heidi', 'tag': 'PERSON'}, {'word': ...   \n",
       "784  [{'word': 'Phil', 'tag': 'PERSON'}, {'word': '...   \n",
       "790  [{'word': 'Next Wednesday August 16th', 'tag':...   \n",
       "320  [{'word': 'Keoni', 'tag': 'PERSON'}, {'word': ...   \n",
       "867  [{'word': 'Cris Sherman', 'tag': 'PERSON'}, {'...   \n",
       "\n",
       "                                            annotation  \n",
       "983  [(Kevin A. Boone, PERSON), (Matt, PERSON), (Ac...  \n",
       "115  [(Tina, PERSON), (Koch, PERSON), (Cyndie, PERS...  \n",
       "92   [(Steve M, PERSON), (Janine, PERSON), (Jeff, P...  \n",
       "382  [(Vince, PERSON), (Frank, PERSON), (Sacramento...  \n",
       "744  [(next Board meeting, DATE), (2001, DATE), (De...  \n",
       "..                                                 ...  \n",
       "597  [(Heidi, PERSON), (Randall Chapman, PERSON), (...  \n",
       "784  [(Phil, PERSON), (Kathy, PERSON), (Alan, PERSO...  \n",
       "790  [(Next Wednesday August 16th, DATE), (41st flo...  \n",
       "320    [(Keoni, PERSON), (Bill, PERSON), (CAISO, ORG)]  \n",
       "867  [(Cris Sherman, PERSON), (Theresa Vos, PERSON)...  \n",
       "\n",
       "[96 rows x 4 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "478ad19d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save to .csv file format\n",
    "\n",
    "train.to_csv('data/ner/train.csv', index=False)\n",
    "val.to_csv('data/ner/val.csv', index=False)\n",
    "test.to_csv('data/ner/test.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60f22ce4",
   "metadata": {},
   "source": [
    "### Converting data to IOB format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "59efcce2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from difflib import SequenceMatcher\n",
    "import re\n",
    "import pickle\n",
    "\n",
    "def matcher(string, pattern):\n",
    "    '''\n",
    "    Return the start and end index of any pattern present in the text.\n",
    "    '''\n",
    "    match_list = []\n",
    "    pattern = pattern.strip()\n",
    "    seqMatch = SequenceMatcher(None, string, pattern, autojunk=False)\n",
    "    match = seqMatch.find_longest_match(0, len(string), 0, len(pattern))\n",
    "    if (match.size == len(pattern)):\n",
    "        start = match.a\n",
    "        end = match.a + match.size\n",
    "        match_tup = (start, end)\n",
    "        string = string.replace(pattern, \"X\" * len(pattern), 1)\n",
    "        match_list.append(match_tup)\n",
    "        \n",
    "    return match_list, string\n",
    "\n",
    "def mark_sentence(s, match_list):\n",
    "    '''\n",
    "    Marks all the entities in the sentence as per the BIO scheme. \n",
    "    '''\n",
    "    word_dict = {}\n",
    "    for word in s.split():\n",
    "        word_dict[word] = 'O'\n",
    "        \n",
    "    for start, end, e_type in match_list:\n",
    "        temp_str = s[start:end]\n",
    "        tmp_list = temp_str.split()\n",
    "        if len(tmp_list) > 1:\n",
    "            word_dict[tmp_list[0]] = 'B-' + e_type\n",
    "            for w in tmp_list[1:]:\n",
    "                word_dict[w] = 'I-' + e_type\n",
    "        else:\n",
    "            word_dict[temp_str] = 'B-' + e_type\n",
    "    return word_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "e397945c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def isFound(substr, string):\n",
    "    if (string.find(substr) == -1):\n",
    "        return False\n",
    "    return True\n",
    "\n",
    "def clean(text):\n",
    "    \"\"\"\n",
    "    Helper fuction to add a space before the punctuations.\n",
    "    This is for better tokenization.\n",
    "    \"\"\"\n",
    "    filters = [\"!\", \"#\", \"$\", \"%\", \"&\", \"(\", \")\", \"/\", \"*\", \":\", \";\", \"<\", \"=\", \">\", \"?\", \"@\", \"[\",\n",
    "               \"\\\\\", \"]\", \"_\", \"`\", \"{\", \"}\", \"~\", \"'\", \",\"]\n",
    "    for i in text:\n",
    "        if i in filters:\n",
    "            text = text.replace(i, \" \" + i)\n",
    "    return text\n",
    "\n",
    "def create_data(df):\n",
    "    '''\n",
    "    Function responsible for the creation of data\n",
    "    '''\n",
    "    data = []\n",
    "    for text, annotation in zip(df.text, df.annotation):\n",
    "\n",
    "        # Keep only entities that are found in text\n",
    "        annotation = [\n",
    "            entity for entity in annotation\n",
    "                if isFound(entity[0], text)\n",
    "        ]\n",
    "        \n",
    "        text = clean(text)\n",
    "        text_ = text\n",
    "\n",
    "        match_list = []\n",
    "        for i in annotation:\n",
    "            a, text_ = matcher(text, i[0])\n",
    "            #match_list.append((a[0][0], a[0][1], i[1]))\n",
    "            if a:\n",
    "                match_list.append((a[0][0], a[0][1], i[1]))\n",
    "\n",
    "        d = mark_sentence(text, match_list)\n",
    "        data.append(d)\n",
    "    \n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "2499fd67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dale:\n",
      "\n",
      "Looks okay  I just made a few changes  I updated the reference the NYISO \n",
      "as the site publisher and also updated the location reference.  \n",
      "\n",
      "ISO NY Zone A (West) Peak\n",
      "\n",
      "The Floating Price during a Determination Period shall be the average of the \n",
      "hourly day-ahead prices listed in the Index (in final, not estimate, form) \n",
      "for electricity delivered during Peak hours on each Delivery Day during the \n",
      "applicable Determination Period.  The Floating Price for each Determination \n",
      "Period shall be calculated utilizing the hourly clearing prices published by \n",
      "the New York Independent System Operator on its official web site currently \n",
      "located at http://www.nyiso.com/oasis/index.html, or any successor thereto, \n",
      "under the headings \"Day Ahead Market LBMP - Zonal; Zonal Prices; West \n",
      "(61752)\"  (the \"Index\").\n",
      "\n",
      "\n",
      "Leslie\n"
     ]
    }
   ],
   "source": [
    "print(ner_df['text'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "f4ebd43f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pretty printing has been turned OFF\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[{'Dale': 'B-PERSON', ':': 'O', 'Looks': 'O', 'okay': 'O', 'I': 'O', 'just': 'O', 'made': 'O', 'a': 'O', 'few': 'O', 'changes': 'O', 'updated': 'O', 'the': 'O', 'reference': 'O', 'NYISO': 'B-LOCATION', 'as': 'O', 'site': 'O', 'publisher': 'O', 'and': 'O', 'also': 'O', 'location': 'O', 'reference.': 'O', 'ISO': 'O', 'NY': 'O', 'Zone': 'O', 'A': 'O', '(West': 'O', ')': 'O', 'Peak': 'O', 'The': 'O', 'Floating': 'O', 'Price': 'O', 'during': 'O', 'Determination': 'O', 'Period': 'O', 'shall': 'O', 'be': 'O', 'average': 'O', 'of': 'O', 'hourly': 'O', 'day-ahead': 'O', 'prices': 'O', 'listed': 'O', 'in': 'O', 'Index': 'O', '(in': 'O', 'final': 'O', ',': 'O', 'not': 'O', 'estimate': 'O', 'form': 'O', 'for': 'O', 'electricity': 'O', 'delivered': 'O', 'hours': 'O', 'on': 'O', 'each': 'O', 'Delivery': 'O', 'Day': 'O', 'applicable': 'O', 'Period.': 'O', 'calculated': 'O', 'utilizing': 'O', 'clearing': 'O', 'published': 'O', 'by': 'O', 'New': 'O', 'York': 'O', 'Independent': 'O', 'System': 'O', 'Operator': 'O', 'its': 'O', 'official': 'O', 'web': 'O', 'currently': 'O', 'located': 'O', 'at': 'O', 'http': 'O', '/': 'O', '/www.nyiso.com': 'O', '/oasis': 'O', '/index.html': 'O', 'or': 'O', 'any': 'O', 'successor': 'O', 'thereto': 'O', 'under': 'O', 'headings': 'O', '\"Day': 'O', 'Ahead': 'O', 'Market': 'O', 'LBMP': 'O', '-': 'O', 'Zonal': 'O', ';': 'O', 'Prices': 'O', 'West': 'O', '(61752': 'O', ')\"': 'O', '(the': 'O', '\"Index\"': 'O', ').': 'O', 'Leslie': 'B-PERSON'}]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%pprint\n",
    "\n",
    "create_data(ner_df[:1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "52f7dad2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768, 96, 96)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert train, test, val into IOB (Inside-Outside-Beginning) format \n",
    "\n",
    "train_ner_data = create_data(train)\n",
    "val_ner_data = create_data(val)\n",
    "test_ner_data = create_data(test)\n",
    "\n",
    "len(train_ner_data), len(val_ner_data), len(test_ner_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "afeed0ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'Good': 'O', 'catch.': 'O', 'NY': 'B-LOCATION', 'law': 'O', 'should': 'O', 'apply': 'O', 'throughout': 'O', 'the': 'O', 'Americas': 'B-LOCATION', 'and': 'O', 'in': 'O', 'Japan.': 'O', 'We': 'O', 'used': 'O', 'UK': 'O', 'Europe': 'B-LOCATION', 'Singapore': 'B-LOCATION', 'on': 'O', 'theory': 'O', 'counterparties': 'O', 'there': 'O', 'would': 'O', 'be': 'O', 'more': 'O', 'comfortable': 'O', 'with': 'O', 'Uk': 'O', 'law.': 'O', 'I': 'O', \"'m\": 'O', 'not': 'O', 'sure': 'O', 'which': 'O', 'Australians': 'O', 'prefer.': 'O', 'What': 'O', 'do': 'O', 'you': 'O', 'think': 'O', 'of': 'O', 'following': 'O', ':': 'O', '16.': 'O', 'If': 'O', 'are': 'O', 'accessing': 'O', 'this': 'O', 'website': 'O', 'from': 'O', 'North': 'B-LOCATION', 'America': 'I-LOCATION', ',': 'O', 'South': 'B-LOCATION', 'or': 'O', 'Japan': 'B-LOCATION', 'terms': 'O', 'legal': 'O', 'Privacy': 'O', 'statement': 'O', 'shall': 'O', 'governed': 'O', 'by': 'O', 'laws': 'O', 'State': 'O', 'New': 'O', 'York': 'O', ';': 'O', 'if': 'O', 'any': 'O', 'other': 'O', 'location': 'O', 'its': 'O', 'English': 'O', 'Leonardo': 'B-PERSON', 'Pacheco': 'I-PERSON', '@ENRON': 'O', 'Australia': 'B-LOCATION'}, {'Tana': 'B-PERSON', ',': 'O', 'Wow': 'O', 'you': 'O', 'are': 'O', 'really': 'O', 'on': 'O', 'the': 'O', 'ball.': 'O', 'Looks': 'O', 'like': 'O', 'we': 'O', 'will': 'O', 'have': 'O', 'a': 'O', 'great': 'O', 'party.': 'O', 'I': 'O', 'email': 'O', 'Matthias': 'B-PERSON', 'and': 'O', 'Karin': 'B-PERSON', 'about': 'O', 'potatoe': 'O', 'recipe': 'O', 'Stephen': 'B-PERSON', 'Long': 'I-PERSON', 'garlic': 'O', 'bread': 'O', 'recipe.': 'O', 'Judy': 'B-PERSON', 'Weller': 'I-PERSON', \"'s\": 'O', 'phone': 'O', 'number': 'O', 'is': 'O', '713-524-7567.': 'O', 'And': 'O', 'Mark': 'B-PERSON', 'willing': 'O', 'to': 'O', 'bring': 'O', 'whatever': 'O', ';': 'O', 'Ulf': 'B-PERSON', 'might': 'O', 'want': 'O', 'help': 'O', 'with': 'O', 'pork': 'O', 'chops': 'O', 'chicken.': 'O', 'How': 'O', 'plans': 'O', 'grill': 'O', 'going': 'O', '?': 'O', 'We': 'O', 'can': 'O', 'always': 'O', 'ours': 'O', 'if': 'O', 'know': 'O', 'of': 'O', 'someone': 'O', 'truck': 'O', 'could': 'O', 'borrow.': 'O', 'Peace': 'O', 'Beth': 'B-PERSON', 'Jones': 'I-PERSON', 'wrote': 'O', ':': 'O', 'got': 'O', 'several': 'O', 'responses': 'O', 'last': 'O', 'night': 'O', 'this': 'O', 'morning': 'O', 'by': 'O', 'so': 'O', 'am': 'O', 'attaching': 'O', 'revised': 'O', 'list.': 'O', '(See': 'O', 'attached': 'O', 'file': 'O', 'church': 'O', 'gourmet.doc': 'O', ')': 'O', 'Name': 'O', 'Type': 'O', 'Microsoft': 'O', 'Word': 'O', 'Document': 'O', '(application': 'O', '/msword': 'O', 'Encoding': 'O', 'base64': 'O', 'Description': 'O', 'Mac': 'O', '3.0': 'O', 'Download': 'O', 'Status': 'O', 'Not': 'O', 'downloaded': 'O', 'message': 'O', '-': 'O', 'lcm.vcf': 'O'}]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_ner_data[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "790873d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'Al': 'B-PERSON', ':': 'O', 'Per': 'O', 'my': 'O', 'voice': 'O', 'mail': 'O', ',': 'O', 'I': 'O', 'have': 'O', 'left': 'O', 'a': 'O', 'message': 'O', 'for': 'O', 'Mark': 'B-PERSON', 'to': 'O', 'give': 'O', 'his': 'O', 'input.': 'O', 'think': 'O', 'you': 'O', 'should': 'O', 'revise': 'O', 'the': 'O', 'letter': 'O', 'as': 'O', 'follows': 'O', 'subject': 'O', \"'s\": 'O', 'edits': 'O', '\"Please': 'O', 'be': 'O', 'advised': 'O', 'that': 'O', 'effective': 'O', 'July': 'O', '17': 'O', '2000': 'O', 'MGplc': 'B-ORG', 'was': 'O', 'aquired': 'O', 'by': 'O', 'Enron': 'B-ORG', 'group.': 'O', 'MG': 'B-ORG', 'London': 'I-ORG', 'Inc': 'I-ORG', 'part': 'O', 'of': 'O', 'Effective': 'O', 'October': 'O', '9': 'O', 'Inc.': 'O', 'changed': 'O', 'its': 'O', 'name': 'O', '\"Enron': 'O', 'Trading': 'O', 'Services': 'O', 'Inc\".': 'O', 'Also': 'O', 'please': 'O', 'Financial': 'O', 'Status': 'O', '(now': 'O', ')': 'O', 'has': 'O', 'not': 'O', 'changed.': 'O', 'If': 'O', 'there': 'O', 'are': 'O', 'any': 'O', 'questions': 'O', 'call': 'O', 'me': 'O', 'at': 'O', '212': 'O', '715': 'O', '5845.\"': 'O', 'Alfred': 'B-PERSON', 'Pennisi': 'I-PERSON', '@MGUSA': 'O'}, {'To': 'O', 'all': 'O', ',': 'O', 'I': 'O', 'visited': 'O', 'with': 'O', 'Kam': 'B-PERSON', 'earlier': 'O', 'today': 'O', 'to': 'O', 'revisit': 'O', 'the': 'O', 'positions': 'O', 'in': 'O', 'SE': 'O', 'book': 'O', 'and': 'O', 'we': 'O', 'discovered': 'O', 'following': 'O', ':': 'O', 'City': 'B-LOCATION', 'of': 'I-LOCATION', 'Madison': 'I-LOCATION', 'transport': 'O', 'transfer': 'O', 'Pete': 'B-PERSON', \"'s\": 'O', 'for': 'O', '10': 'O', '/01': 'O', 'forward': 'O', 'MGAF': 'O', 'write': 'O', 'down': 'O', '2007-2020': 'O', 'position.': 'O', 'Loss': 'O', 'about': 'O', '$500K': 'O', '-': 'O', 'Scott': 'B-PERSON', 'as': 'O', 'spoke': 'O', \"'ll\": 'O', 'take': 'O', 'blame': 'O', 'LRC': 'O', '/Stringray': 'O', 'review': 'O', 'explain': 'O', 'Annuity': 'O', 'Origination': 'O', 'total': 'O', '90K': 'O', 'net': 'O', '500': 'O', 'loss': 'O', 'from': 'O', 'above': 'O', 'Alagasco': 'B-LOCATION', 'Tammi': 'O', 'deal': 'O', 'Sonat': 'O', 'Tier': 'O', '2': 'O', 'position': 'O', 'Others': 'O', 'As': 'O', 'explained': 'O', 'any': 'O', 'gain': 'O', 'closing': 'O', 'this': 'O', 'should': 'O', 'be': 'O', 'transferred': 'O', 'account': 'O', 'Jared': 'B-PERSON', 'Kaiser': 'I-PERSON', 'Bank': 'B-LOCATION', 'America': 'I-LOCATION', 'ABA': 'O', '0011.....just': 'O', 'kidding': 'O', '!': 'O', 'It': 'O', 'comes': 'O', 'sitting': 'O', 'by': 'O', 'Sandra': 'B-PERSON', 'too': 'O', 'long.': 'O', 'thanks': 'O', 'your': 'O', 'help': 'O', 'let': 'O', 'me': 'O', 'know': 'O', 'if': 'O', 'you': 'O', 'need': 'O', 'my': 'O', 'help.': 'O', 'well': 'O', 'please': 'O', 'reply': 'O', 'have': 'O', 'not': 'O', 'covered': 'O', 'issues.': 'O', 'Regards': 'O'}]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val_ner_data[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "1a02867a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'Allright': 'O', 'fellas': 'O', 'here': 'O', \"'s\": 'O', 'the': 'O', 'gameplan': 'O', '.': 'O', 'I': 'O', \"'ll\": 'O', 'drive': 'O', 'leave': 'O', 'at': 'O', '8am': 'O', 'tomorrow': 'O', 'morning': 'O', 'we': 'O', 'can': 'O', 'meet': 'O', 'my': 'O', 'house': 'O', 'or': 'O', 'Matt': 'B-PERSON', 'it': 'O', 'doesn': 'O', \"'t\": 'O', 'really': 'O', 'matter': 'O', 'to': 'O', 'me': 'O', 'plan': 'O', 'on': 'O', 'leaving': 'O', 'BR': 'O', 'no': 'O', 'later': 'O', 'than': 'O', '9am': 'O', 'sunday': 'O', 'morn': 'O', 'Geaux': 'O', 'Tigers': 'O', 'Regards': 'O', ',': 'O', 'Kevin': 'B-PERSON', 'A.': 'I-PERSON', 'Boone': 'I-PERSON', 'Accenture': 'B-ORG', 'Houston': 'O', 'Consultant': 'O', 'Energy': 'O', '(Octel': 'O', ')': 'O', '713.837.1638': 'O', '(Client': 'O', '281.848.1619': 'O', '(C': 'O', '713.306.7940': 'O', '(H': 'O', '713.864.4149': 'O', 'Kevin.A.Boone': 'O', '@accenture.com': 'O', 'Our': 'O', 'web': 'O', 'address': 'O', 'is': 'O', 'http': 'O', ':': 'O', '/': 'O', '/www.accenture.com': 'O', 'This': 'O', 'message': 'O', 'for': 'O', 'designated': 'O', 'recipient': 'O', 'only': 'O', 'and': 'O', 'may': 'O', 'contain': 'O', 'privileged': 'O', 'confidential': 'O', 'information.': 'O', 'If': 'O', 'you': 'O', 'have': 'O', 'received': 'O', 'in': 'O', 'error': 'O', 'please': 'O', 'notify': 'O', 'sender': 'O', 'immediately': 'O', 'delete': 'O', 'original.': 'O', 'Any': 'O', 'other': 'O', 'use': 'O', 'of': 'O', 'email': 'O', 'by': 'O', 'prohibited.': 'O'}, {'Tina': 'B-PERSON', ',': 'O', 'Koch': 'B-ORG', 'never': 'O', 'returned': 'O', 'my': 'O', 'calls.': 'O', 'Based': 'O', 'on': 'O', 'the': 'O', 'contractual': 'O', 'information': 'O', 'we': 'O', 'may': 'O', 'be': 'O', 'putting': 'O', 'ourselves': 'O', 'in': 'O', 'a': 'O', 'risk': 'O', 'area': 'O', 'by': 'O', \"'assigning\": 'O', \"'\": 'O', 'deals': 'O', 'without': 'O', 'proper': 'O', 'documentation.': 'O', 'The': 'O', 'documentation': 'O', 'that': 'O', 'was': 'O', 'supplied': 'O', 'did': 'O', 'not': 'O', 'refence': 'O', 'any': 'O', 'ENA': 'B-ORG', 'agreements': 'O', 'nor': 'O', 'specific': 'O', 'meter': 'O', 'numbers.': 'O', 'If': 'O', 'purchase': 'O', 'indeed': 'O', '/well': 'O', 'sale': 'O', ';': 'O', 'there': 'O', 'should': 'O', 'listing': 'O', 'meters': 'O', 'acquired': 'O', 'and': 'O', 'effective': 'O', 'date.': 'O', 'Since': 'O', 'are': 'O', 'apparently': 'O', 'supplier': 'O', 'is': 'O', 'as': 'O', 'substaintial': 'O', 'if': 'O', 'were': 'O', 'purchaser.': 'O', 'However': 'O', 'basically': 'O', 'relying': 'O', 'relationship': 'O', 'btw': 'O', '&': 'O', 'Duke.': 'O', 'Cyndie': 'B-PERSON', 'Global': 'I-ORG', 'Contracts': 'I-ORG', 'Valadez': 'O', '@ECT': 'O', 'Duke': 'B-ORG'}]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_ner_data[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "f867cfa1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_word_label_dataset(data):\n",
    "    \"\"\"\n",
    "    Generate word label DataFrame \n",
    "    \"\"\"\n",
    "    # Convert list of dicts to list of tuples\n",
    "    tuple_lst = [[(k, v) for k, v in x.items()] for x in data]\n",
    "    # Flatten list of list\n",
    "    all_tuples = [item for sublist in tuple_lst for item in sublist]\n",
    "    df = pd.DataFrame(all_tuples, columns=['word', 'label'])\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "56e3ca53",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'Dale': 'B-PERSON', ':': 'O', 'Looks': 'O', 'okay': 'O', 'I': 'O', 'just': 'O', 'made': 'O', 'a': 'O', 'few': 'O', 'changes': 'O', 'updated': 'O', 'the': 'O', 'reference': 'O', 'NYISO': 'B-LOCATION', 'as': 'O', 'site': 'O', 'publisher': 'O', 'and': 'O', 'also': 'O', 'location': 'O', 'reference.': 'O', 'ISO': 'O', 'NY': 'O', 'Zone': 'O', 'A': 'O', '(West': 'O', ')': 'O', 'Peak': 'O', 'The': 'O', 'Floating': 'O', 'Price': 'O', 'during': 'O', 'Determination': 'O', 'Period': 'O', 'shall': 'O', 'be': 'O', 'average': 'O', 'of': 'O', 'hourly': 'O', 'day-ahead': 'O', 'prices': 'O', 'listed': 'O', 'in': 'O', 'Index': 'O', '(in': 'O', 'final': 'O', ',': 'O', 'not': 'O', 'estimate': 'O', 'form': 'O', 'for': 'O', 'electricity': 'O', 'delivered': 'O', 'hours': 'O', 'on': 'O', 'each': 'O', 'Delivery': 'O', 'Day': 'O', 'applicable': 'O', 'Period.': 'O', 'calculated': 'O', 'utilizing': 'O', 'clearing': 'O', 'published': 'O', 'by': 'O', 'New': 'O', 'York': 'O', 'Independent': 'O', 'System': 'O', 'Operator': 'O', 'its': 'O', 'official': 'O', 'web': 'O', 'currently': 'O', 'located': 'O', 'at': 'O', 'http': 'O', '/': 'O', '/www.nyiso.com': 'O', '/oasis': 'O', '/index.html': 'O', 'or': 'O', 'any': 'O', 'successor': 'O', 'thereto': 'O', 'under': 'O', 'headings': 'O', '\"Day': 'O', 'Ahead': 'O', 'Market': 'O', 'LBMP': 'O', '-': 'O', 'Zonal': 'O', ';': 'O', 'Prices': 'O', 'West': 'O', '(61752': 'O', ')\"': 'O', '(the': 'O', '\"Index\"': 'O', ').': 'O', 'Leslie': 'B-PERSON'}, {'Hi': 'O', 'Chris': 'B-PERSON', ',': 'O', 'I': 'O', 'just': 'O', 'called': 'O', 'you': 'O', 'a': 'O', 'while': 'O', 'ago': 'O', 'and': 'O', 'they': 'O', 'said': 'O', \"'d\": 'O', 'call': 'O', 'me': 'O', 'back.': 'O', '?': 'O', 'may': 'O', 'not': 'O', 'be': 'O', 'at': 'O', 'my': 'O', 'phone': 'O', 'when': 'O', 'because': 'O', \"'m\": 'O', 'other': 'O', 'desk': 'O', 'for': 'O', 'the': 'O', 'rest': 'O', 'of': 'O', 'afternoon.': 'O', 'to': 'O', 'thank': 'O', 'goody': 'O', 'package': 'O', 'received': 'O', 'this': 'O', 'Hector': 'B-PERSON', 'likes': 'O', 'his': 'O', 'golf': 'O', 'shirt': 'O', 'pen': 'O', 'pencil': 'O', 'are': 'O', 'very': 'O', 'nice.': 'O', \"'ve\": 'O', 'already': 'O', 'tested': 'O', 'them': 'O', 'both.': 'O', 'going': 'O', 'visiting': 'O', 'New': 'B-LOCATION', 'York': 'I-LOCATION', 'customers': 'O', 'week': 'O', \"'ll\": 'O', 'probably': 'O', 'take': 'O', 'new': 'O', 'with': 'O', 'if': 'O', 'can': 'O', 'figure': 'O', 'out': 'O', 'way': 'O', 'cover': 'O', 'up': 'O', 'Enron': 'B-ORG', 'part.': 'O', 'Hope': 'O', 'well.': 'O', 'Let': 'O', \"'s\": 'O', 'talk': 'O', 'soon': 'O', 'so': 'O', 'we': 'O', 'act': 'O', 'like': 'O', 'tomatoes': 'O', 'catchup.': 'O', ':': 'O', ')': 'O', 'Take': 'O', 'care.': 'O', 'ii': 'O'}]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ner_data = create_data(ner_df)\n",
    "ner_data[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "9d125bc1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dale</td>\n",
       "      <td>B-PERSON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>:</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Looks</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>okay</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90927</th>\n",
       "      <td>Fax</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90928</th>\n",
       "      <td>202.296.7138</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90929</th>\n",
       "      <td>INGAA</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90930</th>\n",
       "      <td>Proposal.doc</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90931</th>\n",
       "      <td>ATT00512.txt</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>90932 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               word     label\n",
       "0              Dale  B-PERSON\n",
       "1                 :         O\n",
       "2             Looks         O\n",
       "3              okay         O\n",
       "4                 I         O\n",
       "...             ...       ...\n",
       "90927           Fax         O\n",
       "90928  202.296.7138         O\n",
       "90929         INGAA         O\n",
       "90930  Proposal.doc         O\n",
       "90931  ATT00512.txt         O\n",
       "\n",
       "[90932 rows x 2 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ner_ds = generate_word_label_dataset(ner_data)\n",
    "ner_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "d291c152",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B-DATE</td>\n",
       "      <td>438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B-LOCATION</td>\n",
       "      <td>594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B-ORG</td>\n",
       "      <td>1171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B-PERSON</td>\n",
       "      <td>2117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I-DATE</td>\n",
       "      <td>532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>I-LOCATION</td>\n",
       "      <td>367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>I-ORG</td>\n",
       "      <td>891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>I-PERSON</td>\n",
       "      <td>1006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>O</td>\n",
       "      <td>83816</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        label  count\n",
       "0      B-DATE    438\n",
       "1  B-LOCATION    594\n",
       "2       B-ORG   1171\n",
       "3    B-PERSON   2117\n",
       "4      I-DATE    532\n",
       "5  I-LOCATION    367\n",
       "6       I-ORG    891\n",
       "7    I-PERSON   1006\n",
       "8           O  83816"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ner_stats = ner_ds.groupby('label').size().reset_index(name='count')\n",
    "ner_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "3c79d574",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Label')"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x700 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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6IiEhAR4eHoiIiEB8fDwuXboENzc3AMD8+fMxcOBAzJw5E3Z2ds86PURERERkImZXOL/44ov46quv8Ndff6FevXo4fvw4oqKisGjRIgDAhQsXkJKSAn9/f2UftVqNdu3aITo6GsOGDUNMTAy0Wq1OHzc3N3h6eiI6OhoBAQHYv38/NBqNUjQDQKtWraDRaBAdHQ0PDw/s378fnp6eStEMAAEBAcjOzkZMTAw6dOigF392djays7OVx5mZmQAArVYLrVZbbHl6UgXPbcoYzA1zoo850cec6GNO9DEnupgPfaUxJ2oLKdr+5UTnX2MVR04NPYbZFc4fffQRMjIy8MILL8DCwgJ5eXmYOXMm+vXrBwBISUkBALi4uOjs5+LigsTERKWPlZUV7O3t9foU7J+SkgJnZ2e953d2dtbp8+Dz2Nvbw8rKSunzoFmzZmHatGl67REREbCxsXns63/aIiMjTR2C2WFO9DEn+pgTfcyJPuZEF/OhrzTlZE7L4jnODO/8x3d6hO3btxc5hqysLIP6mV3h/MMPPyA8PBzr169Hw4YNERsbi5CQELi5uWHAgAFKP5VKpbOfiOi1PejBPoX1N6bP/SZOnIgxY8YojzMzM+Hu7g5/f3+TTu3QarWIjIxEly5dYGlpabI4zAlzoo850cec6GNO9DEnupgPfaUxJ56hvxVpf3U5wQzvfEw5Ug7Z+Y+u4R4lLjSgSHEA/80QeByzK5w//PBDTJgwAW+88QYAoFGjRkhMTMSsWbMwYMAAuLq6Arg3Gly1alVlv9TUVGV02NXVFTk5OUhPT9cZdU5NTUXr1q2VPlevXtV7/mvXrukc5+DBgzrb09PTodVq9UaiC6jVaqjVar12S0tLs/hFMZc4zAlzoo850cec6GNO9DEnupgPfaUpJ9l5xhe7OsfJVxXpWMWRT0OPYXaramRlZaFcOd2wLCwslOXoatWqBVdXV51THTk5OdizZ49SFHt5ecHS0lKnT3JyMuLi4pQ+vr6+yMjIwKFDh5Q+Bw8eREZGhk6fuLg4JCcnK30iIiKgVqvh5eVVzK+ciIiIiMyZ2Y049+zZEzNnzkT16tXRsGFDHDt2DAsWLMDgwYMB3Js6ERISgrCwMNStWxd169ZFWFgYbGxsEBQUBADQaDR4++23MXbsWDg6OsLBwQHjxo1Do0aNlFU26tevj65du2LIkCFYvnw5AGDo0KHo0aMHPDw8AAD+/v5o0KABgoODMXfuXKSlpWHcuHEYMmQIV9QgIiIiKmPMrnBesmQJpkyZguHDhyM1NRVubm4YNmwYpk6dqvQZP3487ty5g+HDhyM9PR0+Pj6IiIhApUqVlD4LFy5E+fLl0bdvX9y5cwedOnXC6tWrYWFhofRZt24dRo0apay+ERgYiKVLlyrbLSwssG3bNgwfPhx+fn6wtrZGUFAQ5s2b9wwyQURERETmxOwK50qVKmHRokXK8nOFUalUCA0NRWho6EP7VKhQAUuWLNG5ccqDHBwcEB4e/sh4qlevjq1btz4ubCIiIiIq5cxujjMRERERkTli4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBjC7wrlmzZpQqVR6PyNGjAAAiAhCQ0Ph5uYGa2trtG/fHqdOndI5RnZ2NkaOHAknJyfY2toiMDAQly9f1umTnp6O4OBgaDQaaDQaBAcH48aNGzp9kpKS0LNnT9ja2sLJyQmjRo1CTk7OU339RERERGSezK5wPnz4MJKTk5WfyMhIAMBrr70GAJgzZw4WLFiApUuX4vDhw3B1dUWXLl1w8+ZN5RghISHYtGkTNmzYgKioKNy6dQs9evRAXl6e0icoKAixsbHYsWMHduzYgdjYWAQHByvb8/Ly0L17d9y+fRtRUVHYsGEDNm7ciLFjxz6jTBARERGROSlv6gAeVKVKFZ3Hn332GZ5//nm0a9cOIoJFixZh0qRJ6NOnDwBgzZo1cHFxwfr16zFs2DBkZGRg5cqVWLt2LTp37gwACA8Ph7u7O3bu3ImAgACcPn0aO3bswIEDB+Dj4wMAWLFiBXx9fZGQkAAPDw9EREQgPj4ely5dgpubGwBg/vz5GDhwIGbOnAk7O7tnmBUiIiIiMjWzK5zvl5OTg/DwcIwZMwYqlQp///03UlJS4O/vr/RRq9Vo164doqOjMWzYMMTExECr1er0cXNzg6enJ6KjoxEQEID9+/dDo9EoRTMAtGrVChqNBtHR0fDw8MD+/fvh6empFM0AEBAQgOzsbMTExKBDhw6FxpydnY3s7GzlcWZmJgBAq9VCq9UWW26eVMFzmzIGc8Oc6GNO9DEn+pgTfcyJLuZDX2nMidpCirZ/OdH511jFkVNDj2HWhfPmzZtx48YNDBw4EACQkpICAHBxcdHp5+LigsTERKWPlZUV7O3t9foU7J+SkgJnZ2e953N2dtbp8+Dz2Nvbw8rKSulTmFmzZmHatGl67REREbCxsXnUy30mCqa+0H+YE33MiT7mRB9zoo850cV86CtNOZnTsniOM8M7v0j7b9++vcgxZGVlGdTPrAvnlStXolu3bjqjvgCgUql0HouIXtuDHuxTWH9j+jxo4sSJGDNmjPI4MzMT7u7u8Pf3N+n0Dq1Wi8jISHTp0gWWlpYmi8OcMCf6mBN9zIk+5kQfc6KL+dBXGnPiGfpbkfZXlxPM8M7HlCPlkJ3/6DruUeJCA4oUB/DfDIHHMdvCOTExETt37sT//d//KW2urq4A7o0GV61aVWlPTU1VRoddXV2Rk5OD9PR0nVHn1NRUtG7dWulz9epVvee8du2aznEOHjyosz09PR1arVZvJPp+arUaarVar93S0tIsflHMJQ5zwpzoY070MSf6mBN9zIku5kNfacpJdp7xxa7OcfJVRTpWceTT0GMU66oaFy5cwIoVKxAeHo7bt28X6VirVq2Cs7MzunfvrrTVqlULrq6uOqc5cnJysGfPHqUo9vLygqWlpU6f5ORkxMXFKX18fX2RkZGBQ4cOKX0OHjyIjIwMnT5xcXFITk5W+kRERECtVsPLy6tIr42IiIiISh6jCufZs2ejbt26SE9PV9p2796NRo0a4d1338WAAQPg5eWls/1J5OfnY9WqVRgwYADKl/9vUFylUiEkJARhYWHYtGkT4uLiMHDgQNjY2CAoKAgAoNFo8Pbbb2Ps2LH4/fffcezYMbz11lto1KiRsspG/fr10bVrVwwZMgQHDhzAgQMHMGTIEPTo0QMeHh4AAH9/fzRo0ADBwcE4duwYfv/9d4wbNw5DhgzhihpEREREZZBRhfPPP/+M5557TmcqxIcffoj8/HxMmzYN7733Hv766y8sXrzYqKB27tyJpKQkDB48WG/b+PHjERISguHDh8Pb2xtXrlxBREQEKlWqpPRZuHAhevfujb59+8LPzw82NjbYsmULLCwslD7r1q1Do0aN4O/vD39/fzRu3Bhr165VtltYWGDbtm2oUKEC/Pz80LdvX/Tu3Rvz5s0z6jURERERUclm1Bznv//+G6+88ory+NKlS4iJicHYsWMxefJkAEBCQgI2btyI0NDQJz6+v78/RApfmkSlUiE0NPSRx61QoQKWLFmCJUuWPLSPg4MDwsPDHxlH9erVsXXrVoNiJiIiIqLSzagR5xs3bqBy5crK46ioKKhUKvTs2VNpa968OZKSkoocIBERERGROTCqcL5/3WTg3pqEarVa54Yid+/efewScUREREREJYVRUzVatGiBn3/+WZkD/OOPP6J9+/Y6y7D9/fffeusvExERERGVVEaNOH/88cfIzc1FYGAg/P39cffuXUycOFHZfvPmTezatUtnBJqIiIiIqCQzasS5efPmOHDggLIKxauvvopWrVop248fP44uXbooS8QREREREZV0Rt85sEmTJmjSpEmh21588UW8+OKLRgdFRERERGRuinzL7Vu3buGvv/7C7du30aZNm+KIiYiIiIjI7Bh9y+2LFy+iV69esLe3R4sWLdChQwdl2759+9CgQQPs3r27OGIkIiIiIjI5owrnpKQktGrVCtu3b0evXr3g6+urc8MSHx8f/Pvvv/j++++LLVAiIiIiIlMyqnD+5JNPkJ6ejj179uB///sfunTporO9fPnyaNOmDfbt21csQRIRERERmZpRhfNvv/2Gl19+Ga1bt35on+rVq+PKlStGB0ZEREREZE6MKpzT0tJQs2bNx/bLzs425vBERERERGbH6Ftunzt37pF94uLiUL16daOCIiIiIiIyN0YVzl26dMGWLVsQFxdX6PY///wTv//+O1566aUiBUdEREREZC6MKpwnT54Ma2trvPjiiwgLC1NGn3/99VdMmTIFXbt2hZOTEz788MNiDZaIiIiIyFSMugFKzZo18dtvv+GNN97A5MmToVKpICLo0aMHRATVq1fH//73P1StWrW44yUiIiIiMgmj7xzo4+ODs2fPYsuWLTh48CDS0tJgZ2cHHx8f9OrVC1ZWVsUZJxERERGRSRXpltvly5fHyy+/jJdffrm44iEiIiIiMktG33KbiIiIiKgsMWjE+bvvvgMAvPzyy6hUqZLy2BD9+/c3LjIiIiIiIjNiUOE8cOBAqFQqtGrVCpUqVVIeP4qIQKVSsXAmIiIiolLBoML522+/hUqlUlbJWLVq1VMNioiIiIjI3Bg84ny/AQMGPI1YiIiIiIjMFi8OJCIiIiIygFGF8759+zBmzBikpKQUuj0lJQVjxozBgQMHihQcEREREZG5MKpwXrBgAbZs2QJXV9dCt7u6umLr1q1YuHBhkYIjIiIiIjIXRhXOhw8fxosvvvjIPm3btuWIMxERERGVGkYVzqmpqXjuuece2cfV1RWpqalGBUVEREREZG6MKpwrV66MpKSkR/ZJTExExYoVjQqKiIiIiMjcGFU4+/r6YtOmTbh06VKh25OSkrB582a0bt26SMEREREREZkLowrnMWPGICsrC35+fvjuu++QnJwMAEhOTsaaNWvg5+eHO3fuYOzYscUaLBERERGRqRh0A5QHtWnTBp9//jlCQkIwaNAgAIBKpYKIAADKlSuHxYsXo23btsUXKRERERGRCRl9A5QRI0bg2LFjePfdd+Hl5YXatWvDy8sL7733Ho4dO4YRI0YYHdSVK1fw1ltvwdHRETY2NmjatCliYmKU7SKC0NBQuLm5wdraGu3bt8epU6d0jpGdnY2RI0fCyckJtra2CAwMxOXLl3X6pKenIzg4GBqNBhqNBsHBwbhx44ZOn6SkJPTs2RO2trZwcnLCqFGjkJOTY/RrIyIiIqKSyagR5wKenp5YtmxZccUC4F4x6+fnhw4dOuDXX3+Fs7Mzzp8/j8qVKyt95syZgwULFmD16tWoV68ePv30U3Tp0gUJCQmoVKkSACAkJARbtmzBhg0b4OjoiLFjx6JHjx6IiYmBhYUFACAoKAiXL1/Gjh07AABDhw5FcHAwtmzZAgDIy8tD9+7dUaVKFURFReH69esYMGAARARLliwp1tdNREREROatSIXz0zB79my4u7tj1apVSlvNmjWV/xYRLFq0CJMmTUKfPn0AAGvWrIGLiwvWr1+PYcOGISMjAytXrsTatWvRuXNnAEB4eDjc3d2xc+dOBAQE4PTp09ixYwcOHDgAHx8fAMCKFSvg6+uLhIQEeHh4ICIiAvHx8bh06RLc3NwAAPPnz8fAgQMxc+ZM2NnZPaOsEBEREZGpFalwTklJQUxMDG7cuIG8vLxC+/Tv3/+JjvnLL78gICAAr732Gvbs2YPnnnsOw4cPx5AhQwAAFy5cQEpKCvz9/ZV91Go12rVrh+joaAwbNgwxMTHQarU6fdzc3ODp6Yno6GgEBARg//790Gg0StEMAK1atYJGo0F0dDQ8PDywf/9+eHp6KkUzAAQEBCA7OxsxMTHo0KHDE702IiIiIiq5jCqc7969iyFDhuD7779XLgh8kIhApVI9ceH8999/48svv8SYMWPw8ccf49ChQxg1ahTUajX69++PlJQUAICLi4vOfi4uLkhMTARwr6C3srKCvb29Xp+C/VNSUuDs7Kz3/M7Ozjp9Hnwee3t7WFlZKX0elJ2djezsbOVxZmYmAECr1UKr1Rqch+JW8NymjMHcMCf6mBN9zIk+5kQfc6KL+dBXGnOitii8BjR4/3Ki86+xiiOnhh7DqML5o48+wrp161CvXj3069cP1apVQ/nyxTPrIz8/H97e3ggLCwMANGvWDKdOncKXX36pU4SrVCqd/QoK9Ud5sE9h/Y3pc79Zs2Zh2rRpeu0RERGwsbF5ZHzPQmRkpKlDMDvMiT7mRB9zoo850cec6GI+9JWmnMxpWTzHmeGdX6T9t2/fXuQYsrKyDOpnVLX7008/oUGDBoiJiYFarTbmEA9VtWpVNGjQQKetfv362LhxI4B7t/IG7o0GV61aVemTmpqqjA67uroiJycH6enpOqPOqampyk1ZXF1dcfXqVb3nv3btms5xDh48qLM9PT0dWq1WbyS6wMSJEzFmzBjlcWZmJtzd3eHv72/SOdFarRaRkZHo0qULLC0tTRaHOWFO9DEn+pgTfcyJPuZEF/OhrzTmxDP0tyLtry4nmOGdjylHyiE7/9GDn48SFxpQpDiA/2YIPI5RhfONGzcQFBRU7EUzAPj5+SEhIUGn7a+//kKNGjUAALVq1YKrqysiIyPRrFkzAEBOTg727NmD2bNnAwC8vLxgaWmJyMhI9O3bF8C9m7PExcVhzpw5AO7d/TAjIwOHDh1Cy5b3vjIdPHgQGRkZSnHt6+uLmTNnIjk5WSnSIyIioFar4eXlVWj8arW60LxYWlqaxS+KucRhTpgTfcyJPuZEH3OijznRxXzoK005yc4zvtjVOU6+qkjHKo58GnoMowrn+vXrFzpaWxxGjx6N1q1bIywsDH379sWhQ4fw9ddf4+uvvwZwb+pESEgIwsLCULduXdStWxdhYWGwsbFBUFAQAECj0eDtt9/G2LFj4ejoCAcHB4wbNw6NGjVSVtmoX78+unbtiiFDhmD58uUA7i1H16NHD3h4eAAA/P390aBBAwQHB2Pu3LlIS0vDuHHjMGTIEK6oQURERFTGGD3H+Z133sG5c+dQp06dYg2oRYsW2LRpEyZOnIjp06ejVq1aWLRoEd58802lz/jx43Hnzh0MHz4c6enp8PHxQUREhLKGMwAsXLgQ5cuXR9++fXHnzh106tQJq1evVtZwBoB169Zh1KhRyuobgYGBWLp0qbLdwsIC27Ztw/Dhw+Hn5wdra2sEBQVh3rx5xfqaiYiIiMj8GVU4u7q6omvXrmjZsiVCQkLQrFkzaDSaQvsac9vtHj16oEePHg/drlKpEBoaitDQ0If2qVChApYsWfLIG5U4ODggPDz8kbFUr14dW7dufWzMRERERFS6GVU4t2/fHiqVSrn19aNWs3jY+s5ERERERCWJUYXz1KlTH7v0GxERERFRaWJU4fyoKRJERERERKVROVMHQERERERUEhTpdn/Hjh3D999/jzNnziArKws7d+4EACQmJuLgwYPo3LkzHBwciiVQIiIiIiJTMrpwHj9+PObPnw+Re/cXv3/Os4ggKCgI8+fPxwcffFD0KImIiIiITMyoqRqrVq3CvHnz0KNHD5w4cQITJ07U2V6zZk20bNkSv/zyS7EESURERERkakaNOH/xxReoX78+Nm7ciPLly8PKykqvzwsvvKBM3SAiIiIiKumMGnGOj49Hly5dUL78w+tuFxcXpKamGh0YEREREZE5MapwLl++PHJych7Z559//kHFihWNCoqIiIiIyNwYVTg3atQIu3btQn5+fqHbC1bY8PLyKlJwRERERETmwqjCefDgwUhISMB7772nN/KcmZmJgQMHIiUlBUOGDCmWIImIiIiITM2oiwMHDx6M33//HStWrMD333+PypUrAwBatmyJ06dP4/bt2xg4cCBeffXV4oyViIiIiMhkjL5z4Lp167B8+XLUqlULV65cgYjgyJEjqF69Or788kt8++23xRknEREREZFJFenOgUOGDMGQIUNw584dpKenw87OjhcEEhEREVGpZNSIs4WFBd58803lsbW1Ndzc3Fg0ExEREVGpZVThbGdnB3d39+KOhYiIiIjIbBlVOLds2RLHjx8v7liIiIiIiMyWUYXztGnT8Mcff2DNmjXFHQ8RERERkVky6uLAiIgItG/fHoMHD8aSJUvQsmVLuLi4QKVS6fRTqVSYMmVKsQRKRERERGRKRhXOoaGhyn8fPXoUR48eLbQfC2ciIiIiKi2MKpx37dpV3HEQEREREZk1owrndu3aFXccRERERERmzeg7BxIRERERlSVGjTjv3bvX4L5t27Y15imIiIiIiMyKUYVz+/bt9VbQeJi8vDxjnoKIiIiIyKwYVThPnTq10MI5IyMDR48exd69e9G9e3d4e3sXOUAiIiIiInNQ5OXoCvO///0PAwcOxLRp04w5PBERERGR2XkqFwe++uqr6NChAyZOnPg0Dk9ERERE9Mw9tVU16tevj/379z+twxMRERERPVNPrXA+duwYypXjandEREREVDoYNcc5KSmp0Pbc3FxcuXIFq1evxh9//IFevXoVKTgiIiIiInNhVOFcs2bNRy5HJyKoVasWFi5caHRgRERERETmxKi5FP379y/0Z+DAgRg9ejTWr1+PU6dOoUaNGk987NDQUKhUKp0fV1dXZbuIIDQ0FG5ubrC2tkb79u1x6tQpnWNkZ2dj5MiRcHJygq2tLQIDA3H58mWdPunp6QgODoZGo4FGo0FwcDBu3Lih0ycpKQk9e/aEra0tnJycMGrUKOTk5DzxayIiIiKiks+oEefVq1cXcxi6GjZsiJ07dyqPLSwslP+eM2cOFixYgNWrV6NevXr49NNP0aVLFyQkJKBSpUoAgJCQEGzZsgUbNmyAo6Mjxo4dix49eiAmJkY5VlBQEC5fvowdO3YAAIYOHYrg4GBs2bIFwL0bt3Tv3h1VqlRBVFQUrl+/jgEDBkBEsGTJkqf6+omIiIjI/BhVOD9t5cuX1xllLiAiWLRoESZNmoQ+ffoAANasWQMXFxesX78ew4YNQ0ZGBlauXIm1a9eic+fOAIDw8HC4u7tj586dCAgIwOnTp7Fjxw4cOHAAPj4+AIAVK1bA19cXCQkJ8PDwQEREBOLj43Hp0iW4ubkBAObPn4+BAwdi5syZsLOze0bZICIiIiJzYFThvG/fPmzcuBHjx48vtMBNSUnBnDlz0LdvX7Rq1eqJj3/27Fm4ublBrVbDx8cHYWFhqF27Ni5cuICUlBT4+/srfdVqNdq1a4fo6GgMGzYMMTEx0Gq1On3c3Nzg6emJ6OhoBAQEYP/+/dBoNErRDACtWrWCRqNBdHQ0PDw8sH//fnh6eipFMwAEBAQgOzsbMTEx6NChQ6GxZ2dnIzs7W3mcmZkJANBqtdBqtU+ci+JS8NymjMHcMCf6mBN9zIk+5kQfc6KL+dBXGnOitpCi7V9OdP41VnHk1NBjGFU4L1iwACdOnMCCBQsK3e7q6oqtW7fiypUr+OGHH57o2D4+Pvjuu+9Qr149XL16FZ9++ilat26NU6dOISUlBQDg4uKis4+LiwsSExMB3CvaraysYG9vr9enYP+UlBQ4OzvrPbezs7NOnwefx97eHlZWVkqfwsyaNavQOyZGRETAxsbmcS//qYuMjDR1CGaHOdHHnOhjTvQxJ/qYE13Mh77SlJM5LYvnODO884u0//bt24scQ1ZWlkH9jCqcDx8+jE6dOj2yT9u2bY16c3Tr1k3570aNGsHX1xfPP/881qxZo4xeP7iih4g8cpWPwvoU1t+YPg+aOHEixowZozzOzMyEu7s7/P39TTq9Q6vVIjIyEl26dIGlpaXJ4jAnzIk+5kQfc6KPOdHHnOhiPvSVxpx4hv5WpP3V5QQzvPMx5Ug5ZOc/uo57lLjQgCLFAfw3Q+BxjCqcU1NT8dxzzz2yj6urK1JTU405vA5bW1s0atQIZ8+eRe/evQHcGw2uWrWqTjwFo8Ourq7IyclBenq6zqhzamoqWrdurfS5evWq3nNdu3ZN5zgHDx7U2Z6eng6tVqs3En0/tVoNtVqt125paWkWvyjmEoc5YU70MSf6mBN9zIk+5kQX86GvNOUkO8/4YlfnOPmqIh2rOPJp6DGMWo6ucuXKD70JSoHExERUrFjRmMPryM7OxunTp1G1alXUqlULrq6uOiPZOTk52LNnj1IUe3l5wdLSUqdPcnIy4uLilD6+vr7IyMjAoUOHlD4HDx5ERkaGTp+4uDgkJycrfSIiIqBWq+Hl5VXk10VEREREJYtRI86+vr7YtGkTLl26BHd3d73tSUlJ2Lx5Mzp27PjExx43bhx69uyJ6tWrIzU1FZ9++ikyMzMxYMAAqFQqhISEICwsDHXr1kXdunURFhYGGxsbBAUFAQA0Gg3efvttjB07Fo6OjnBwcMC4cePQqFEjZZWN+vXro2vXrhgyZAiWL18O4N5ydD169ICHhwcAwN/fHw0aNEBwcDDmzp2LtLQ0jBs3DkOGDOGKGkRERERlkFEjzmPGjEFWVhb8/Pzw3XffKaOyycnJWLNmDfz8/HDnzh2MHTv2iY99+fJl9OvXDx4eHujTpw+srKxw4MAB5WYq48ePR0hICIYPHw5vb29cuXIFERERyhrOALBw4UL07t0bffv2hZ+fH2xsbLBlyxad9aDXrVuHRo0awd/fH/7+/mjcuDHWrl2rbLewsMC2bdtQoUIF+Pn5oW/fvujduzfmzZtnTMqIiIiIqIQzasS5TZs2+PzzzxESEoJBgwYBuHchnci95UTKlSuHxYsXo23btk987A0bNjxyu0qlQmhoKEJDQx/ap0KFCliyZMkjb1Ti4OCA8PDwRz5X9erVsXXr1kf2ISIiIqKywegboIwYMQLt2rXDl19+icOHD+PGjRuoXLkyWrZsiXfffReenp7FGScRERERkUkV6c6Bnp6eWLZsWXHFQkRERERktoya40xEREREVNYYVTivWbMGXl5e+Oeffwrd/s8//8DLywvr168vUnBERERERObCqMJ59erVsLKygpubW6Hb3dzcYG1tjZUrVxYpOCIiIiIic2FU4RwfH49mzZo9sk/Tpk0RHx9vVFBERERERObGqMI5IyND53bWhbGzs0N6erpRQRERERERmRujCmc3NzfExsY+ss/x48fh4uJizOGJiIiIiMyOUYWzv78/fvvtN0RGRha6PSIiAjt27EBAQECRgiMiIiIiMhdGreM8YcIEbNiwAS+99BKCg4PRpUsXPPfcc8rtr8PDw2FnZ4eJEycWd7xERERERCZhVOFcs2ZN/Prrr3j99dexevVqrFmzRtkmIqhWrRp+/PFH1KpVq9gCJSIiIiIyJaPvHOjr64tz587hl19+waFDh3RuuR0YGAgrK6vijJOIiIiIyKSKdMttKysrvPrqq3j11VeLKx4iIiIiIrNULLfcvn37NpKTk3H79u3iOBwRERERkdkxunDWarUICwtDvXr1YGdnh2rVqsHOzg5169ZFWFgYcnJyijNOIiIiIiKTMmqqxp07d9ClSxfs378fFhYWqFevHlxdXXH16lWcP38eU6ZMwdatW/H777/D2tq6uGMmIiIiInrmjBpxnjNnDqKjo9GvXz/8/fffOH36NHbt2oX4+HhcuHABb775Jg4cOIA5c+YUd7xERERERCZhVOG8YcMGeHt7Izw8HNWqVdPZ5ubmhu+++w7e3t7YsGFDsQRJRERERGRqRhXOFy9eROfOnR/Zp1OnTrh48aIxhyciIiIiMjtGFc42Nja4du3aI/tcu3YNNjY2RgVFRERERGRujCqcW7VqhQ0bNuDUqVOFbo+Pj8cPP/wAX1/fIgVHRERERGQujFpVY9KkSYiMjESLFi3w9ttvo127dnBxccHVq1exe/durFq1ClqtFhMnTizueImIiIiITMKowrl169b4/vvv8c4772DZsmX44osvlG0iAo1GgzVr1sDPz6/YAiUiIiIiMiWjb7n9yiuvICAgAJs3b8axY8eQmZkJOzs7NGvWDL169UKlSpWKM04iIiIiIpMyunAGgIoVK+Ktt97CW2+9VVzxEBERERGZJaNvuU1EREREVJawcCYiIiIiMgALZyIiIiIiA7BwJiIiIiIyAAtnIiIiIiIDGFQ4T58+HXv37n3asRARERERmS2DCufQ0FDs3r1beWxhYYEZM2Y8rZiIiIiIiMyOQYWzra0t7ty5ozwWEYjIUwuKiIiIiMjcGFQ416lTB5s2bcLhw4eRlJQEALhx4waSkpIe+1MUs2bNgkqlQkhIiNImIggNDYWbmxusra3Rvn17nDp1Sme/7OxsjBw5Ek5OTrC1tUVgYCAuX76s0yc9PR3BwcHQaDTQaDQIDg7GjRs3dPokJSWhZ8+esLW1hZOTE0aNGoWcnJwivSYiIiIiKpkMKpzHjh2Lv/76C61atUKtWrUAAIsXL0atWrUe+VO7dm2jAzt8+DC+/vprNG7cWKd9zpw5WLBgAZYuXYrDhw/D1dUVXbp0wc2bN5U+ISEh2LRpEzZs2ICoqCjcunULPXr0QF5entInKCgIsbGx2LFjB3bs2IHY2FgEBwcr2/Py8tC9e3fcvn0bUVFR2LBhAzZu3IixY8ca/ZqIiIiIqOQy6Jbbb731Fp5//nls374dV65cwerVq9G4cWM0bdr0qQR169YtvPnmm1ixYgU+/fRTpV1EsGjRIkyaNAl9+vQBAKxZswYuLi5Yv349hg0bhoyMDKxcuRJr165F586dAQDh4eFwd3fHzp07ERAQgNOnT2PHjh04cOAAfHx8AAArVqyAr68vEhIS4OHhgYiICMTHx+PSpUtwc3MDAMyfPx8DBw7EzJkzYWdn91ReOxERERGZJ4MKZwDw9fWFr68vAGD16tV4+eWXMXXq1KcS1IgRI9C9e3d07txZp3C+cOECUlJS4O/vr7Sp1Wq0a9cO0dHRGDZsGGJiYqDVanX6uLm5wdPTE9HR0QgICMD+/fuh0WiUohkAWrVqBY1Gg+joaHh4eGD//v3w9PRUimYACAgIQHZ2NmJiYtChQ4dCY8/OzkZ2drbyODMzEwCg1Wqh1WqLnhwjFTy3KWMwN8yJPuZEH3OijznRx5zoYj70lcacqC2Kdr2bupzo/Gus4sipoccwuHC+365du1CzZk1jdn2sDRs24OjRozh8+LDetpSUFACAi4uLTruLiwsSExOVPlZWVrC3t9frU7B/SkoKnJ2d9Y7v7Oys0+fB57G3t4eVlZXSpzCzZs3CtGnT9NojIiJgY2Pz0P2elcjISFOHYHaYE33MiT7mRB9zoo850cV86CtNOZnTsniOM8M7v0j7b9++vcgxZGVlGdTPqMK5Xbt2Oo9v376NzMxM2NnZwdbW1phDAgAuXbqEDz74ABEREahQocJD+6lUKp3HIqLX9qAH+xTW35g+D5o4cSLGjBmjPM7MzIS7uzv8/f1NOr1Dq9UiMjISXbp0gaWlpcniMCfMiT7mRB9zoo850cec6GI+9JXGnHiG/lak/dXlBDO88zHlSDlk5z+6jnuUuNCAIsUB/DdD4HGMKpyBe2+AuXPnYvXq1Th//rzSXrt2bQwaNAjjxo2DlZXVEx0zJiYGqamp8PLyUtry8vKwd+9eLF26FAkJCQDujQZXrVpV6ZOamqqMDru6uiInJwfp6ek6o86pqalo3bq10ufq1at6z3/t2jWd4xw8eFBne3p6OrRard5I9P3UajXUarVeu6WlpVn8ophLHOaEOdHHnOhjTvQxJ/qYE13Mh77SlJPsPOOLXZ3j5KuKdKziyKehxzDqltt37txBhw4dMGXKFFy8eBH16tVD27Zt4eHhgaSkJEyZMgXt27fXWfvZEJ06dcLJkycRGxur/Hh7e+PNN99EbGwsateuDVdXV53THDk5OdizZ49SFHt5ecHS0lKnT3JyMuLi4pQ+vr6+yMjIwKFDh5Q+Bw8eREZGhk6fuLg4JCcnK30iIiKgVqt1CnsiIiIiKhuMGnGeM2cOoqOjERQUhM8++wzVqlVTtv3zzz+YMGECwsPDMWfOHHzyyScGH7dSpUrw9PTUabO1tYWjo6PSHhISgrCwMNStWxd169ZFWFgYbGxsEBQUBADQaDR4++23MXbsWDg6OsLBwQHjxo1Do0aNlFU26tevj65du2LIkCFYvnw5AGDo0KHo0aMHPDw8AAD+/v5o0KABgoODMXfuXKSlpWHcuHEYMmQIV9QgIiIiKoOMGnHesGEDvL29ER4erlM0A/dWsPjuu+/g7e2NDRs2FEuQ9xs/fjxCQkIwfPhweHt748qVK4iIiEClSpWUPgsXLkTv3r3Rt29f+Pn5wcbGBlu2bIGFhYXSZ926dWjUqBH8/f3h7++Pxo0bY+3atcp2CwsLbNu2DRUqVICfnx/69u2L3r17Y968ecX+moiIiIjI/Bk14nzx4kWMHj36kX06deqERYsWGXN4Hbt379Z5rFKpEBoaitDQ0IfuU6FCBSxZsgRLlix5aB8HBweEh4c/8rmrV6+OrVu3Pkm4RERERFRKGTXibGNjg2vXrj2yz7Vr18xi+TUiIiIiouJgVOHcqlUrbNiwAadOnSp0e3x8PH744QflhilERERERCWdUVM1Jk2ahMjISLRo0QJvv/022rVrBxcXF1y9ehW7d+/GqlWroNVqMXHixOKOl4iIiIjIJIwqnFu3bo3vv/8e77zzDpYtW4YvvvhC2SYi0Gg0WLNmDfz8/IotUCIiIiIiUzL6BiivvPIKAgICsHnzZhw7dky5c2CzZs3Qq1cvnVUuiIiIiIhKOqMLZwCoWLEi3nrrLbz11lvFFQ8RERERkVky6uJAIiIiIqKyhoUzEREREZEBWDgTERERERmAhTMRERERkQFYOBMRERERGYCFMxERERGRAYwqnC0sLPDmm28WdyxERERERGbLqMLZzs4O7u7uxR0LEREREZHZMqpwbtmyJY4fP17csRARERERmS2jCudp06bhjz/+wJo1a4o7HiIiIiIis2TULbcjIiLQvn17DB48GEuWLEHLli3h4uIClUql00+lUmHKlCnFEigRERERkSkZVTiHhoYq/3306FEcPXq00H4snImIiIiotDCqcN61a1dxx0FEREREZNaMKpzbtWtX3HEQEREREZk13gCFiIiIiMgARhfOubm5WLhwIVq2bAk7OzuUL//f4HVsbCyGDx+Ov/76q1iCJCIiIiIyNaOmaty5cwf+/v6Ijo6Gk5MT7OzscPv2bWV7rVq1sGrVKjg4OODTTz8ttmCJiIiIiEzFqBHnsLAw7Nu3D7NmzUJKSgreeecdne0ajQbt2rXDb7/9VixBEhERERGZmlGF8w8//ID27dtj/PjxUKlUeus3A0Dt2rWRlJRU5ACJiIiIiMyBUYVzUlISWrRo8cg+dnZ2yMjIMCooIiIiIiJzY1ThXKlSJVy7du2Rfc6fP48qVaoYFRQRERERkbkxqnBu1aoVtmzZ8tAR5cuXL2P79u1o27ZtkYIjIiIiIjIXRhXOH374IdLS0tC5c2dER0cjNzcXAJCVlYXff/8d/v7+0Gq1GDNmTLEGS0RERERkKkYtR9e2bVssW7YMo0aNQps2bZT2SpUqAQAsLCzwxRdfwMvLq3iiJCIiIiIyMaMKZwB499130a5dO3z11Vc4ePAg0tLSYGdnBx8fHwwfPhwNGzYszjiJiIiIiEzK6MIZAOrXr4/FixcXVyxERERERGbL6FtuExERERGVJUUqnPft24ehQ4eiZcuW8PDwQMuWLTF06FBERUUZfcwvv/wSjRs3hp2dHezs7ODr64tff/1V2S4iCA0NhZubG6ytrdG+fXucOnVK5xjZ2dkYOXIknJycYGtri8DAQFy+fFmnT3p6OoKDg6HRaKDRaBAcHIwbN27o9ElKSkLPnj1ha2sLJycnjBo1Cjk5OUa/NiIiIiIquYwqnEUE7733Htq2bYtvvvkGR44cwfnz53HkyBF88803aNeuHd577z2IyBMfu1q1avjss89w5MgRHDlyBB07dkSvXr2U4njOnDlYsGABli5disOHD8PV1RVdunTBzZs3lWOEhIRg06ZN2LBhA6KionDr1i306NEDeXl5Sp+goCDExsZix44d2LFjB2JjYxEcHKxsz8vLQ/fu3XH79m1ERUVhw4YN2LhxI8aOHWtMyoiIiIiohDOqcJ4/fz6WL18OT09P/PTTT0hJSUFubi5SUlLw448/omHDhvj666+xYMGCJz52z5498dJLL6FevXqoV68eZs6ciYoVK+LAgQMQESxatAiTJk1Cnz594OnpiTVr1iArKwvr168HAGRkZGDlypWYP38+OnfujGbNmiE8PBwnT57Ezp07AQCnT5/Gjh078M0338DX1xe+vr5YsWIFtm7dioSEBABAREQE4uPjER4ejmbNmqFz586YP38+VqxYgczMTGPSRkREREQlmFEXB3799deoVasW9u/fDxsbG6Xd2dkZr776Krp27YrGjRtj+fLlRRqhzcvLw08//YTbt2/D19cXFy5cQEpKCvz9/ZU+arUa7dq1Q3R0NIYNG4aYmBhotVqdPm5ubvD09ER0dDQCAgKwf/9+aDQa+Pj4KH1atWoFjUaD6OhoeHh4YP/+/fD09ISbm5vSJyAgANnZ2YiJiUGHDh0KjTk7OxvZ2dnK44IiW6vVQqvVGp2Loip4blPGYG6YE33MiT7mRB9zoo850cV86CuNOVFbPPnMAp39y4nOv8YqjpwaegyjCudLly7h/fff1yma71exYkX06dMHy5YtM+bwOHnyJHx9fXH37l1UrFgRmzZtQoMGDRAdHQ0AcHFx0env4uKCxMREAEBKSgqsrKxgb2+v1yclJUXp4+zsrPe8zs7OOn0efB57e3tYWVkpfQoza9YsTJs2Ta89IiLiofl6liIjI00dgtlhTvQxJ/qYE33MiT7mRBfzoa805WROy+I5zgzv/CLtv3379iLHkJWVZVA/owrnatWq4e7du4/sk52djWrVqhlzeHh4eCA2NhY3btzAxo0bMWDAAOzZs0fZrlKpdPqLiF7bgx7sU1h/Y/o8aOLEiTp3TMzMzIS7uzv8/f1hZ2f3yBifJq1Wi8jISHTp0gWWlpYmi8OcMCf6mBN9zIk+5kQfc6KL+dBXGnPiGfpbkfZXlxPM8M7HlCPlkJ3/6DruUeJCA4oUBwCDp+EaVTgPHjwYixYtwuTJk/VGZQEgOTkZP/zwg9HTNKysrFCnTh0AgLe3Nw4fPozFixfjo48+AnBvNLhq1apK/9TUVCUOV1dX5OTkID09XWfUOTU1Fa1bt1b6XL16Ve95r127pnOcgwcP6mxPT0+HVqst9DUXUKvVUKvVeu2WlpZm8YtiLnGYE+ZEH3OijznRx5zoY050MR/6SlNOsvOML3Z1jpOvKtKxiiOfhh7DoIsDk5KSdH7eeOMN+Pj4oFmzZpg9ezb27duHs2fPYt++ffjss8/g5eUFX19f9O3bt0gvooCIIDs7G7Vq1YKrq6vOaY6cnBzs2bNHKYq9vLxgaWmp0yc5ORlxcXFKH19fX2RkZODQoUNKn4MHDyIjI0OnT1xcHJKTk5U+ERERUKvVvJU4ERERURlk0IhzzZo1Hzpt4eOPPy60fcuWLdi2bRtyc3OfKKCPP/4Y3bp1g7u7O27evIkNGzZg9+7d2LFjB1QqFUJCQhAWFoa6deuibt26CAsLg42NDYKCggAAGo0Gb7/9NsaOHQtHR0c4ODhg3LhxaNSoETp37gzg3h0Pu3btiiFDhmD58uUAgKFDh6JHjx7w8PAAAPj7+6NBgwYIDg7G3LlzkZaWhnHjxmHIkCEmnXJBRERERKZhUOHcv3//x84hLi5Xr15FcHAwkpOTodFo0LhxY+zYsQNdunQBAIwfPx537tzB8OHDkZ6eDh8fH0RERKBSpUrKMRYuXIjy5cujb9++uHPnDjp16oTVq1fDwsJC6bNu3TqMGjVKWX0jMDAQS5cuVbZbWFhg27ZtGD58OPz8/GBtbY2goCDMmzfvmeSBiIiIiMyLQYXz6tWrn3IY/1m5cuUjt6tUKoSGhiI0NPShfSpUqIAlS5ZgyZIlD+3j4OCA8PDwRz5X9erVsXXr1kf2ISIiIqKyoUi33CYiIiIiKitYOBMRERERGcDowjk6Ohovv/wyateuDbVaDQsLC72f8uWNWu2OiIiIiMjsGFXZhoeHY8CAARAR1K5dGy1btmSRTERERESlmlHV7owZM2Bvb49ff/0VLVq0KO6YiIiIiIjMjlFTNQpugsKimYiIiIjKCqMK55o1ayInJ6e4YyEiIiIiMltGFc7vvvsutm7dirS0tOKOh4iIiIjILBk1x/mDDz7AuXPn4Ofnh8mTJ6NJkyYPvQ119erVixQgEREREZE5MHopjKZNmyI8PBz9+/d/aB+VSoXc3Fxjn4KIiIiIyGwYVTgvWbIEISEhsLS0RIcOHVC1alUuR0dEREREpZpR1e7ChQvx3HPPITo6GtWqVSvumIiIiIiIzI5RFwempKTglVdeYdFMRERERGWGUYVznTp1cOPGjWIOhYiIiIjIfBlVOI8ePRo///wzEhMTizseIiIiIiKzZNQc5+effx7t2rWDt7c3PvjgAzRt2vShy9G1bdu2SAESEREREZkDowrn9u3bQ6VSQUQwdepUqFSqh/bNy8szOjgiIiIiInNhVOH8uGKZiIiIiKi0MapwDg0NLeYwiIiIiIjMm1EXBxIRERERlTUsnImIiIiIDGDUVI1y5coZNMdZpVIhNzfXmKcgIiIiIjIrRhXObdu2LbRwzsjIwNmzZ3H79m00adIElStXLmp8RERERERmwajCeffu3Q/dlpWVhQkTJmDHjh2IiIgwNi4iIiIiIrNS7HOcbWxs8Pnnn0Oj0WD8+PHFfXgiIiIiIpN4ahcHtmnTBtu2bXtahyciIiIieqaeWuF87do13Lp162kdnoiIiIjomSr2wjk/Px9r167FDz/8gKZNmxb34YmIiIiITMKoiwNr165daHtubi5SU1Oh1WpRvnx5hIWFFSk4IiIiIiJzYVThnJ+fX+hydJaWlvD09IS3tzfef/99eHp6FjlAIiIiIiJzYFThfPHixWIOg4iIiIjIvPGW20REREREBjC7wnnWrFlo0aIFKlWqBGdnZ/Tu3RsJCQk6fUQEoaGhcHNzg7W1Ndq3b49Tp07p9MnOzsbIkSPh5OQEW1tbBAYG4vLlyzp90tPTERwcDI1GA41Gg+DgYNy4cUOnT1JSEnr27AlbW1s4OTlh1KhRyMnJeSqvnYiIiIjMl8FTNYYPH/7EB1epVFi2bNkT7bNnzx6MGDECLVq0QG5uLiZNmgR/f3/Ex8fD1tYWADBnzhwsWLAAq1evRr169fDpp5+iS5cuSEhIQKVKlQAAISEh2LJlCzZs2ABHR0eMHTsWPXr0QExMDCwsLAAAQUFBuHz5Mnbs2AEAGDp0KIKDg7FlyxYAQF5eHrp3744qVaogKioK169fx4ABAyAiWLJkyRPng4iIiIhKLoML56+++srgg95/4eCTFs4FRWyBVatWwdnZGTExMWjbti1EBIsWLcKkSZPQp08fAMCaNWvg4uKC9evXY9iwYcjIyMDKlSuxdu1adO7cGQAQHh4Od3d37Ny5EwEBATh9+jR27NiBAwcOwMfHBwCwYsUK+Pr6IiEhAR4eHoiIiEB8fDwuXboENzc3AMD8+fMxcOBAzJw5E3Z2dk/02oiIiIio5DK4cN61a5dB/ZKSkjB9+nScP3++0JU3nlRGRgYAwMHBAQBw4cIFpKSkwN/fX+mjVqvRrl07REdHY9iwYYiJiYFWq9Xp4+bmBk9PT0RHRyMgIAD79++HRqNRimYAaNWqFTQaDaKjo+Hh4YH9+/fD09NTKZoBICAgANnZ2YiJiUGHDh304s3OzkZ2drbyODMzEwCg1Wqh1WqLnA9jFTy3KWMwN8yJPuZEH3OijznRx5zoYj70lcacqC2kaPuXE51/jVUcOTX0GAYXzu3atXvk9vT0dISFhWHZsmW4e/cufH19MXv2bEMPXygRwZgxY/Diiy8qS9ulpKQAAFxcXHT6uri4IDExUeljZWUFe3t7vT4F+6ekpMDZ2VnvOZ2dnXX6PPg89vb2sLKyUvo8aNasWZg2bZpee0REBGxsbB77mp+2yMhIU4dgdpgTfcyJPuZEH3OijznRxXzoK005mdOyeI4zwzu/SPtv3769yDFkZWUZ1M+o5ejud/fuXSxatAhz5szBjRs38MILLyAsLAy9e/cu6qHx/vvv48SJE4iKitLb9uBotog8doT7wT6F9Temz/0mTpyIMWPGKI8zMzPh7u4Of39/k07t0Gq1iIyMRJcuXWBpaWmyOMwJc6KPOdHHnOhjTvQxJ7qYD32lMSeeob8VaX91OcEM73xMOVIO2fnGz1KICw0oUhzAfzMEHsfowllEsHLlSkybNg1XrlyBm5sb5syZg8GDB6NcuaIv1jFy5Ej88ssv2Lt3L6pVq6a0u7q6Arg3Gly1alWlPTU1VRkddnV1RU5ODtLT03VGnVNTU9G6dWulz9WrV/We99q1azrHOXjwoM729PR0aLVavZHoAmq1Gmq1Wq/d0tLSLH5RzCUOc8Kc6GNO9DEn+pgTfcyJLuZDX2nKSXZe0afkAkB2vqpIxyqOfBp6DKMq3M2bN6Nhw4YYNmwYbt26hbCwMJw7dw7vvPNOkYtmEcH777+P//u//8Mff/yBWrVq6WyvVasWXF1ddU515OTkYM+ePUpR7OXlBUtLS50+ycnJiIuLU/r4+voiIyMDhw4dUvocPHgQGRkZOn3i4uKQnJys9ImIiIBarYaXl1eRXicRERERlSxPNOIcFRWFjz76CAcOHICVlRVGjx6NSZMm6c0lLooRI0Zg/fr1+Pnnn1GpUiVlLrFGo4G1tTVUKhVCQkIQFhaGunXrom7duggLC4ONjQ2CgoKUvm+//TbGjh0LR0dHODg4YNy4cWjUqJGyykb9+vXRtWtXDBkyBMuXLwdwbzm6Hj16wMPDAwDg7++PBg0aIDg4GHPnzkVaWhrGjRuHIUOGcEUNIiIiojLG4MI5MDAQ27ZtQ7ly5TBgwABMnz5dZwpFcfnyyy8BAO3bt9dpX7VqFQYOHAgAGD9+PO7cuYPhw4cjPT0dPj4+iIiIUNZwBoCFCxeifPny6Nu3L+7cuYNOnTph9erVyhrOALBu3TqMGjVKWX0jMDAQS5cuVbZbWFhg27ZtGD58OPz8/GBtbY2goCDMmzev2F83EREREZk3gwvnrVu3QqVSoXr16khJScHQoUMfu49KpcK2bdueKCCRxy9JolKpEBoaitDQ0If2qVChApYsWfLIG5U4ODggPDz8kc9VvXp1bN269bExEREREVHp9kRTNUQEFy5cwIULFwzqXxzrOBMRERERmQODC2dDi2UiIiIiotLI4MK5Ro0aTzMOIiIiIiKzVvQFl4mIiIiIygAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAYwu8J579696NmzJ9zc3KBSqbB582ad7SKC0NBQuLm5wdraGu3bt8epU6d0+mRnZ2PkyJFwcnKCra0tAgMDcfnyZZ0+6enpCA4OhkajgUajQXBwMG7cuKHTJykpCT179oStrS2cnJwwatQo5OTkPI2XTURERERmzuwK59u3b6NJkyZYunRpodvnzJmDBQsWYOnSpTh8+DBcXV3RpUsX3Lx5U+kTEhKCTZs2YcOGDYiKisKtW7fQo0cP5OXlKX2CgoIQGxuLHTt2YMeOHYiNjUVwcLCyPS8vD927d8ft27cRFRWFDRs2YOPGjRg7duzTe/FEREREZLbKmzqAB3Xr1g3dunUrdJuIYNGiRZg0aRL69OkDAFizZg1cXFywfv16DBs2DBkZGVi5ciXWrl2Lzp07AwDCw8Ph7u6OnTt3IiAgAKdPn8aOHTtw4MAB+Pj4AABWrFgBX19fJCQkwMPDAxEREYiPj8elS5fg5uYGAJg/fz4GDhyImTNnws7O7hlkg4iIiIjMhdkVzo9y4cIFpKSkwN/fX2lTq9Vo164doqOjMWzYMMTExECr1er0cXNzg6enJ6KjoxEQEID9+/dDo9EoRTMAtGrVChqNBtHR0fDw8MD+/fvh6empFM0AEBAQgOzsbMTExKBDhw6FxpidnY3s7GzlcWZmJgBAq9VCq9UWWy6eVMFzmzIGc8Oc6GNO9DEn+pgTfcyJLuZDX2nMidpCirZ/OdH511jFkVNDj1GiCueUlBQAgIuLi067i4sLEhMTlT5WVlawt7fX61Owf0pKCpydnfWO7+zsrNPnweext7eHlZWV0qcws2bNwrRp0/TaIyIiYGNj87iX+NRFRkaaOgSzw5zoY070MSf6mBN9zIku5kNfacrJnJbFc5wZ3vlF2n/79u1FjiErK8ugfiWqcC6gUql0HouIXtuDHuxTWH9j+jxo4sSJGDNmjPI4MzMT7u7u8Pf3N+n0Dq1Wi8jISHTp0gWWlpYmi8OcMCf6mBN9zIk+5kQfc6KL+dBXGnPiGfpbkfZXlxPM8M7HlCPlkJ3/6DruUeJCA4oUB/DfDIHHKVGFs6urK4B7o8FVq1ZV2lNTU5XRYVdXV+Tk5CA9PV1n1Dk1NRWtW7dW+ly9elXv+NeuXdM5zsGDB3W2p6enQ6vV6o1E30+tVkOtVuu1W1pamsUvirnEYU6YE33MiT7mRB9zoo850cV86CtNOcnOM77Y1TlOvqpIxyqOfBp6DLNbVeNRatWqBVdXV53THDk5OdizZ49SFHt5ecHS0lKnT3JyMuLi4pQ+vr6+yMjIwKFDh5Q+Bw8eREZGhk6fuLg4JCcnK30iIiKgVqvh5eX1VF8nEREREZkfsxtxvnXrFs6dO6c8vnDhAmJjY+Hg4IDq1asjJCQEYWFhqFu3LurWrYuwsDDY2NggKCgIAKDRaPD2229j7NixcHR0hIODA8aNG4dGjRopq2zUr18fXbt2xZAhQ7B8+XIAwNChQ9GjRw94eHgAAPz9/dGgQQMEBwdj7ty5SEtLw7hx4zBkyBCuqEFERERUBpld4XzkyBGdFSsK5gsPGDAAq1evxvjx43Hnzh0MHz4c6enp8PHxQUREBCpVqqTss3DhQpQvXx59+/bFnTt30KlTJ6xevRoWFhZKn3Xr1mHUqFHK6huBgYE6a0dbWFhg27ZtGD58OPz8/GBtbY2goCDMmzfvaaeAiIiIiMyQ2RXO7du3h8jDlyVRqVQIDQ1FaGjoQ/tUqFABS5YswZIlSx7ax8HBAeHh4Y+MpXr16ti6detjYyYiIiKi0q9EzXEmIiIiIjIVFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBmDhTERERERkABbOREREREQGYOFMRERERGQAFs5ERERERAZg4UxEREREZAAWzkREREREBihv6gCIiJ6mmhO2FWl/tYVgTkvAM/Q3ZOepjD7Oxc+6FykOIiIyPY44ExEREREZgIUzEREREZEBWDgTERERERmAc5yJShHO5yUiInp6WDgb4IsvvsDcuXORnJyMhg0bYtGiRWjTpo2pwyIiInoqzOVLOGA+X8SZEwJYOD/WDz/8gJCQEHzxxRfw8/PD8uXL0a1bN8THx6N69eqmDq9MM5cPMX6AERERlQ0snB9jwYIFePvtt/HOO+8AABYtWoTffvsNX375JWbNmvXM4mCRSETFoaifJUDp+zxhTojIUCycHyEnJwcxMTGYMGGCTru/vz+io6ML3Sc7OxvZ2dnK44yMDABAWloatFqt0bGUz71t9L4AUD5fkJWVj/LacsjLN/5D/fr160WKozgxJ/qYE33Mia6i5gNgTgo9BnOiu38x5QNgTgrDnOgqjnzcvHkTACAij+4o9FBXrlwRALJv3z6d9pkzZ0q9evUK3eeTTz4RAPzhD3/4wx/+8Ic//ClhP5cuXXpkbcgRZwOoVLrfgkREr63AxIkTMWbMGOVxfn4+0tLS4Ojo+NB9noXMzEy4u7vj0qVLsLOzM1kc5oQ50cec6GNO9DEn+pgTXcyHPuZEnznlRERw8+ZNuLm5PbIfC+dHcHJygoWFBVJSUnTaU1NT4eLiUug+arUaarVap61y5cpPK8QnZmdnZ/I3p7lhTvQxJ/qYE33MiT7mRBfzoY850WcuOdFoNI/twxugPIKVlRW8vLwQGRmp0x4ZGYnWrVubKCoiIiIiMgWOOD/GmDFjEBwcDG9vb/j6+uLrr79GUlIS3n33XVOHRkRERETPEAvnx3j99ddx/fp1TJ8+HcnJyfD09MT27dtRo0YNU4f2RNRqNT755BO9aSRlGXOijznRx5zoY070MSe6mA99zIm+kpgTlcjj1t0gIiIiIiLOcSYiIiIiMgALZyIiIiIiA7BwJiIiIiIyAAtnIiIiIiIDsHAmIiIiIjIAC2ciomeoLC5kVBZfc3FjDqnA3bt3TR1CsSmJ72sWzlSos2fPYvfu3aYOo0TLyMiAVqs1dRhkRi5cuICePXsiPT3d1KE8EwkJCfj777+hUqlMHUqJ9e+//+LWrVtQqVTIz883dThkYomJiRgxYkSJ//t8584dZGdn49KlSyXuiwALZ9ITGxuL5s2b4/Tp06YOpcRKS0tDvXr1sHTpUuTk5Jg6nGKXlpaG06dPIyYmxtShlCharRb79+9Hnz59kJGRYepwnqrjx4+jfv362LJli6lDKbH+/fdfvPnmm5g0aRJu3ryJcuXKlZriOS0tDbGxsTh79myJHHU0lX/++QeRkZH4+uuvsW/fPlOHY5TTp0/jrbfegre3N55//nn4+vpiwoQJpg7LYCycScfx48fh5+eH999/H++9956pwymxHBwcMHjwYHz88cf49ttvS1XxfObMGbz11luYNm0avv32WwAl83SbKdSrVw9RUVG4fPkyevToUWqL5+PHj6N169aYNGkSPvjgA51tpaXwexbs7e3h4eGBmJgYzJo1q9QUz2fOnMHrr7+Ojz76CN9++y3PSBhIRODr64t169bh1KlTWLx4cYkrnk+ePAlfX19UrVoVISEh+PHHH1GjRg0sWrQIPXv2LBlnaYXo/zt+/LjY2NjIxIkTddp/++03+euvv0wUVcmj1WqV/54xY4ZYWFjIl19+KdnZ2SaMqnicOHFCnJycZMyYMRITE6O0JyQkmDAq83b37l29tlOnTknt2rXlxRdflBs3bpggqqcnNjZWbG1tZcKECTrtP/74o2RlZZkoqpKn4HMkNzdXJkyYID4+PjJx4kTJzMwUEZG8vDxThme0EydOSJUqVWTcuHESHx+v056ammrCyMxXbm6uXtuuXbukcePG8tprr0lUVJQJonpyqamp0qxZM73PhtTUVFm6dKnY2NjI66+/bqLoDMfCmUREJDExURwdHfXetDNmzJDq1avL6dOnTRRZyfHvv//K7du39do/+eQTsbCwkC+++KJEF89JSUlSt25dGT16tE777NmzRaVSyeLFi00UmflKSEiQXr16ydSpU+XIkSPy77//Ktvi4+Olbt260qpVq1JTPP/zzz+iUqnkgw8+EBGR/Px8ERH57LPPxMbGRo4ePWrC6EqG9PR0vTatVivjx4+XFi1alOji+dKlS+Lh4SFjxozRiX3OnDni6uoqc+bMkWvXrpkwQvMTFxcnPj4+smDBAvnf//4nIiI5OTkiIrJ3715p3LixvPLKK7J3715ThmmQo0ePiqenp5w8eVL5MlDwPrhx44bMmDFDbGxsZNOmTSaM8vFYOJNotVo5deqUNG/eXHr16iXR0dEiIjJr1ixxcnKSX3/91cQRmr9z586Ji4uL1K9fXz799FP5/vvvdYqhWbNmiUqlki+//FLu3LljwkiNt2rVKunQoYNcuHBBKYgWLFggtra2MnDgQLG0tJRFixaZOErzkZWVJa+//rqoVCpRqVTSsWNHqVKlinz44Yeydu1ayczMlL/++kuaNm0qHTt2lLS0NFOHXCSZmZly4sQJ8fLykiZNmsj169dFRCQsLEwcHBwkIiLCxBGav/j4eFGpVNK2bVvp16+f7N27V06dOiUi976ETJ8+XVq0aCEfffSRZGRkiEjJKp7Xrl0rLVq0kIsXLyqfIZ988oloNBrp3bu31K5dWxYsWMDi+f/Ly8uT1157TVQqldSvX1+qVKkiLVq0kMDAQPntt9/k33//lWPHjkmzZs1k4MCB8ueff5o65EdatWqVVKhQQXlc8B4o8Pfff4tGo5G5c+c+69CeCOc4l3FHjhzB888/jzp16mDatGm4e/cu5syZg2HDhmHBggVYt24dunbtqrMPLxrUJSLYt28f7t69izNnziAxMRHvv/8+2rZti4CAAGzatAkDBgzA7NmzMXr0aPz444+4ffu2qcN+Yn/++ScyMzNRs2ZNqFQqZGRk4NatW9i2bRtWrlyJefPmYcyYMVi4cKGpQzUL1tbWGDx4MN588000bdoUAwcOxNy5c3HhwgW8++67aNeuHYYPH47u3btj165deOONN3Djxg1Th22Uo0eP4tVXX4Varcb69ethaWmJDh06YOrUqVi4cCHWrVuHLl266Oxz4cKFEj9Xt7gVfLb+/fffSExMxNtvv42OHTsiKCgIy5cvx6BBg9CiRQvEx8dj3rx5ypznkmLPnj3Izc1FjRo1lHnNtra2+N///odNmzbhjTfewOeff47ly5fjzp07Zf7aiXLlymHx4sXw9/dHVlYWfvrpJwwYMACWlpZ49913UbduXaxevRqOjo74/fffMXPmTBw+fNjUYT9UnTp1AAAbN24EAL257bVq1ULt2rVx5cqVZx7bEzF15U6mExsbK3Z2djJixAil7ZdffpHOnTtLhQoVZMGCBSJy71thwTfDKVOmiLu7u6Snp+t9WyzL/v33X/nmm2+kVq1aMmrUKLl165b8+OOP0rNnT2nUqJHY2trKO++8I+XLlxeVSiXr1683dcgGK/j/PHDgQPHz89Npu3/0PDs7WwIDA6Vdu3bKqUQS2b59u/Tp00e8vLzk7NmzInJvatQPP/wg/fr1k9atWyuj0pcuXTJxtE/u2LFjUqFCBQkJCVHazpw5I+3atROVSqWcXr5/7v+4ceOkfv36ypQD+s93330nKpVKFi5cKPv375ft27dLv379pE6dOtKwYUNp3LixVK5cWdRqtcyaNatEfQ6PHTtW6tevL2lpaQ+N29/fX3r27PmMIzNvV69elUaNGomfn5+cO3dORO6Nzm7fvl369+8vnTt3FpVKJQ4ODmb9GXLp0iVxdnaWwMBASUxMVNoLzpqkpaVJ69atZe3ataYK0SAsnMuo+Ph4sbW1lY8//lhEdC8++PXXX6VLly7SvXt3nYsOpkyZIhUqVJAjR44883hLgmvXrslXX30lGo1G5+KHpKQk+fXXX2X06NHi4+Mj1tbWcubMGRNGapzvv/9eVCqVzofa/cVQTk6OBAcHS2hoaIn6Y16cMjMzJTU1VY4fPy7nz59X2nft2iUvvfSSeHl5yYEDB3T2SU1NlcOHDytFdUkSHx8vFStWlJkzZ4qI7rSBU6dOSevWraVBgwY6p96nTp0qtra2enmg/yxatEhUKpVMmzZNp/3HH3+UefPmSYMGDeT5558vcZ8jX375pZQrV05+/vlnvW25ubmi1WplyJAhMmnSJJ3PlrIkIyNDLly4IPv27ZMLFy4oebh27Zo0btxYGjRoIH///bfSv+B3bseOHZKUlGSSmJ/Exo0bxcrKSvr37y9xcXE62yZPniw1a9aUixcvmig6w7BwLoOOHz8uTk5O4ujoKFeuXFHa7y+et2zZIgEBAdK1a1c5fvy4zJ49m0XzfZKTk2XXrl2yePFi+e677+Sff/4RkXsrKHz55Zfi4OAg77//fqH7loT5e5mZmZKcnKxzlfvp06elbdu2Urt2bfnxxx91+ufm5sqkSZPE3d29RBaAxSEuLk46duwonp6eolKppHLlyhIcHCwXLlwQEZE9e/ZIz549xcvLS/k9ys/PL1FzVO934sQJsbe3F0dHx4e+njNnzoi3t7e88MILcvfuXZk1axY/R+7zzz//yM8//yyfffaZLF++XGJiYpT8LV68WCme77+oVOTely1zv6A0IyNDrl27pjOymJ2dLf7+/uLi4iK7d+/WKY7z8/Nl4sSJUq1atTK7ilNcXJx06NBBXnjhBbGzsxMbGxsZPHiw7Ny5U0Tu/e1o0qSJNGrUSBl5LmmfH7m5ufLVV19J+fLlxcPDQwYPHiyTJk2SN998UxwcHErEBcQsnMuYY8eOibW1tQwdOlRcXV0lICBAZymxB4vn7t27i4uLi1haWvKP3f934sQJeeGFF8THx0c0Go1UqlRJKleuLLNnz5Z///1XcnJy5KuvvhJHR0dldQGRwpclM0dxcXHSuXNnqVOnjrRs2VLmz5+vbNu2bZs0b95c7O3tZerUqRIVFSVr166VgQMHSuXKlUvEh97TcPLkSbGzs5MPPvhAfv31V9mzZ49MmTJFHBwcdArl33//XXr16iU+Pj6yf/9+E0dtvNjYWLGxsZGXX35ZevfuLf7+/rJnzx5l+4PFs4+Pj6hUKhbN9zl+/Lh4eHhIy5YtpVatWmJjYyM1atSQd999V/kc/vzzz0WlUsn06dMLXW3DXJ06dUo6dOggDRs2lCpVqsi3334rIveK4wMHDoivr6/Y29vL5MmT5Y8//pDVq1fLO++8IxqNpsx+hsTFxSmfIZGRkRIdHS3Tp08XBwcHadq0qTJKX7CkW/PmzUv0F4wDBw5Inz59pGHDhuLn5ycjRowoMat3sXAuQxISEqRChQry4YcfiojI+fPnxcHBQQICAnR+Ae8vnjdt2iQ9e/bUO6VSVp05c0bs7e1l4sSJkpiYKNnZ2XLs2DEZOHCgqFQqmTBhgty8eVNu3rwpX331lVStWlXeeecdU4dtsPvnvX/33XfSsWNHcXZ2lu3btyt9du/eLe+8847Y2tpKpUqVpE6dOtKrV68y+x5JS0uTtm3bytixY3XatVqt/Pnnn1K1alVp3769Ukz+/vvv0r59e2nfvr3cvXu3xE1r+euvv0SlUsnkyZNF5N4c7q5du4q/v7/Oklj3F88nT56Ufv36yfHjx595vObozJkz4uDgIB999JFcuXJFbt++LefPn5c33nhDqlSpIm+88YbyObx06VKxtLSUCRMmmP0os8i9wRlbW1sZPXq0rFixQt566y1RqVTKqir5+fmSkJAggwcPFjs7O1GpVGX+M+TGjRvStm1bnYGWAps2bZLnn39e/Pz8lKk5qampUqtWLfHz8yvR15Pk5uYqn38laeSchXMZEh4eLkuXLhWR/+amnj9/XhwdHR9ZPN+6devZBmqmsrOzZdCgQTJkyBAR0V+UfsSIEWJpaSm//PKLiNwrqBYtWiTPP/+8pKSkPPN4n9SpU6ekUqVKMmXKFKVtz549olKp9JaZu3PnjiQmJsq+ffvk8uXLcvPmzWcdrtk4d+6c1KtXT3bv3i0i+kssbd26VcqXLy8LFy5U2vbu3WvWF/E8yoEDB2TZsmU6bdu3b5du3bo9snguyWuYF6fc3Fx55513JDg4WG9bWlqavP/+++Lk5KSzLvr8+fOlcuXKZj/N6/Tp02JlZSWfffaZ0hYZGSlqtVpmzJih1//s2bNy8uRJSUtLK9N/Z86dOyeenp7KcnL5+fk6f18Kri/57rvvlLZr167pzHUuie7/rCxJAwgsnMuAB+/WVfAGfbB47tq160OLZ7pXBDRt2lQ+/fRTnfaCfObm5oqvr6+0bNlSyW1mZmaJOMWanZ0trVq1EmdnZ51RwWnTpolKpZIxY8bI999/zwu6CrFt2zapUKGCJCcni4j+701aWpo0btxYZ/WakujBka28vDyd1/qw4rkk/UF8Fu7evSve3t4ya9YsERG9EbcbN25I48aNJSAgQGc/c/8cycrKkv79+4tardb5DJk+fbqoVCrp1auXbNq0SSIiIvgl6gFRUVFSoUIFZfpWwXvi/hWt2rdvL2+88UaJvi6itCg5C0CSUU6dOqWsp3rlyhXk5ORApVJBRFC+fHlotVrUrl0bhw4dwuHDhzF69GicOXMGAGBhYWHi6M1HXl4erl69itTUVDg5OQEAtFotgHtrUebn58PCwgJdunTBjRs3kJWVBQCoVKkSKleubKqwDWZlZYXFixfD0dER06dPx99//405c+Zg3rx5CA4OxnPPPYcpU6Zg6NChaNSoEYYPH47Y2FhTh20WGjRogHLlymHVqlUA7v3eyH3rz9rb28PZ2RlpaWmmCrHI4uPj0axZM3zzzTf47bffANxbY9bCwkL5PejWrRtGjhwJCwsLfPbZZ/jjjz8A6K/VWtZlZ2fj5s2buHXrFgAo75Vy5cpBq9VCo9Hg/fffx4kTJ/DPP/8gNzcXAKDRaEwWsyGsra3x5ptvomfPnhg0aBAuXryIZcuWYe7cuRg/fjw8PT2xYcMGdO/eHYGBgejTpw8SEhJMHbbJ3P8ZodFokJ2djePHj+tsU6lUyu9PuXLlICJQqVQlau3u0qi8qQOgp2vz5s24evUqfvrpJ5w8eRLlypXDzJkz8dxzz6FSpUqwtLREbm4uateujcOHD+P555+HtbW1chODsi4tLQ0ODg6wsLBA1apV0bhxYyxbtgxvvPEGNBoN8vPzdT7EKlWqBFtb2xKVu4LX0LJlS6xatQpvvfUWevTogeTkZGzevBkdO3YEAAwePBiZmZmYPXs2zp07BxsbGxNHbhpJSUnYvn07+vXrB41Gg0qVKsHX1xc//PADWrZsiU6dOilfTkUE2dnZUKlU8PX1NXXoRvv2228RHx+PS5cuYd68eWjTpg1ef/11dOjQQee93q1bN6hUKsyYMQNffPEFfH19YW1tbcLIzUNaWhry8/Ph5OQEW1tb2Nvb4/fff8e0adOUL1oqlUrJZVpaGqpUqQIXFxdlAKMkfAHx9/eHhYUFli5dCj8/P6SlpSE6OhrNmjVT+hw7dgw7d+7ETz/9VGYLwMTEROzZswdt2rRBzZo14enpib59+2LChAnw9vaGl5cXtFqt8vdZRKDRaODt7Q0AyvuFTMREI930jERGRsqbb74pf//9t+zbt09effVVqVOnjgwaNKjQ+8FfuHChxK0N+rTcuHFDnJ2ddeb8LlmyRJycnGTkyJGF3iJ54MCBMmDAgBKxBmlGRoZcvXpVDh48KOnp6co85YMHD4qHh4e0bt1a5wr3+0+5Pzj9p6w4efKkNGjQQLp3766znvXevXulQoUK4uvrKxs3blTa8/LyZOrUqVK1alVl+aiSKCkpSfz9/WXjxo0SHx8v/v7+8tJLL4m3t7fs2rVLb93VkrKm7LOQnp4uDRs2lClTpijLVm7dulUsLS3lvffe0+lbMPXl3XfflTfffNPsLx7NzMyUq1evyrFjx3SWody7d6/06tVL6tSpo3yG5Ofn60z3KatTAQtWZerWrZvs2LFDaf/111+lYcOGUrVqVdm3b5/SnpOTI5988om4uLiU2aU+zQ0L5zLAz89PuaBNRGTfvn3i7OwsKpVK+vbtK3PnzpX09HTOm7pPcnKyJCQkyPz580WtVuvc4OGNN94QJycnef311+X8+fOSlZUlycnJ8vHHH4tGo5FTp06ZOPrHi4uLE39/f6lXr55YWlqKm5ub9OvXT1lzeP/+/VKnTh155ZVX5ODBg8p+ZfWPnci9iycdHR3lww8/VOYz3+/XX3+VqlWripOTk3Tr1k3efPNNeeWVV6RKlSoSExNjgoiLz40bN6R///4SGhoqIveuj0hLSxO1Wi316tUTb29v+frrr+XkyZMmjtS8JCYmilarlcmTJ0vt2rVl1qxZcu3aNcnKypIJEyaISqWSAQMGyLFjxyQ7O1uSkpJkypQpYmdnZ/YrTBSsOVywbrlGo5F+/fopXxCjoqKkV69e0qxZM+UzJC8vz6y/CDxt8fHx4uDgIBMmTCj04uCffvpJmjdvLiqVSrp27SovvfSS9OnTR5ydnUv8Z0hpwsK5FCv4dr93717p2LGjMpI8aNAgqVevnvzf//2fjBgxQp577jlp3ry5zu2Ty7KjR49K5cqVZefOnZKTkyNLliyRcuXKKVeF5+XlyXvvvSfu7u5iY2MjtWvXFh8fH6lbt26JWIP05MmTotFoJCQkRDZt2iQnTpyQoUOHiru7u1SrVk0Z1Sgonvv27atzB8my6Pbt2/LSSy/p3dQmNzdXrl+/rtyg4q+//pJPP/1U2rdvL927d5epU6eWuLVWC7swSeTexX+2trZKcTxgwACpXr26rF+/XmbPni0qlUoCAgLM/iK2Z+XYsWNiZ2ennIGYOnWqVKtWTWbNmqVcNDx79myxt7eXihUrikajER8fH/Hw8DD7z5GCdctDQkLkt99+kz///FNCQ0PFyclJmjVrJocOHRIRkT/++EN69+4tLVu25GfI7dvSs2dPGTlypE57fn6+XLlyRfkMuXbtmsybN09eeeUVCQwMlM8++6zEfYaUdiycy4DLly+Lt7e3fPPNN/Lee+9J1apVlQ+27OxsuXTpkjLSWNbFxsYqa5AWuHv3rl7xnJ+fL0eOHJEvvvhCZsyYIZs2bZLLly+bKmyDpaWlSevWrWXcuHF629atWye1a9eWxo0bK6eUjxw5Io6OjtK/f/8y/cXq2rVr0rBhQ51pGDt37pTRo0dLlSpVxMnJScaPH1+qisYHpxvl5eXJoEGD5PPPP5fXX39dXFxcJDY2VtkeHx+vc5e4sqzgRlMfffSRTvv9xXPBmszJycny7bffyvz582Xnzp06d3M1R+np6dKuXbtC1y2Pjo6W5557Ttq0aaO8f3bt2iUdO3aUdu3ayZ07d8rsiPPt27elZcuWsm7dOqUtMjJSxo0bJ5UrVxYPDw9544035Pbt2yLC5RvNGQvnUuLy5cvy7bffyquvviqvv/66fPzxx3L9+nXl1Hp4eLioVCqpWrUqT6c+xOnTp0Wj0Sh/7O6flpCdnS1Lly7VKZ5Lor///ls8PT1l3759ytSc+wukpUuXioODg3zzzTdK27Fjx0r0/NzikJmZKb6+vjJkyBDJyMiQuXPniqenp/Tq1UsWL14ss2bNEltbW9mwYYOI6I7aliSXLl2Sr7/+Wnr37i2dOnWSzz77TOdOf5999pmoVCqpXbu2zrUQnOb1nzNnzohGo1GWrczPz9f5Hbu/eDb3Irkw58+fl3r16smuXbtERP89vn37drG0tJR58+YpbVFRUSV23fLikpmZKc8995x88MEHcu3aNZk9e7Y0aNBAAgMDZeHChRIWFiaNGjWSsLAwnSXnStpnSFnAwrkUOHnypDRt2lQ6d+4snTt3lo4dO4qNjY00b95c/vjjD9FqtfLPP//Iiy++qHyYl+W5qoWJjY0VjUYjNjY28sknnyjTXO7/g3d/8Xz/Av8iJefDbefOnaJSqfQuMrk//oYNG8rAgQNFhO+TAlqtVubNmycvvPCCVKlSRSpVqiRLlizRKR69vb1l0KBBJoyyaE6ePCmenp4SGBgoXbp0kddff13KlSsnzZs317nxgr+/f4l+nU9TwZ03VSqVzJ49W2l/8IYWU6dOFXd3d5kzZ45ydqek+PXXX0WtVitF/4OfEenp6dK0aVO9Cx9JZOPGjWJhYSE1atQQW1tbnc+QnJwcadmypQwbNszEUdLjcDm6Eu748eNo06YNhg8fjuHDh6N69erIycnB8ePH0b9/fwwfPhwbNmxAkyZN0LJlS3z99dcYO3YsKlSoYOrQzcaxY8fQtm1bDB06FPb29ti6dSvu3LmDTz/9FJaWlsjLy4OFhQWsrKwwZMgQlCtXDiNGjICVlRVGjx4NoGQsFQUATk5OUKvV+P3331G7dm1lOaiC5dNUKhXc3d2Rl5cHoOyu5X316lWcPn0alpaWqFGjBqpVq4bhw4fD398fV65cQaNGjfDcc88BuLec3+3bt+Ho6IjGjRubOHLjFHyOvPvuuxg9ejSqVq0KABg6dCg++ugjzJkzB7a2tujTpw86duyI7du34+rVq3BxcTFx5Obj+PHj8PX1xciRI+Hp6YlBgwYhKysLoaGhUKlUsLCwUD5LCpahmzZtGiwtLTFq1KgSszRb/fr1Ub58eXz77beYPHmyznJ6AFC5cuUSv255cUhJScHZs2dx/fp19O7dGwDQp08f/PXXX0hMTESDBg2U3x/5/0tXVqtWDdWrV1faSsrflTLHpGU7FcnJkyelYsWKynJpD54ePnPmjNSsWVP8/f1F5N7yY1WrVpXp06ebJmAzdPXqVbG2tpYxY8aIiMjNmzfl448/Fh8fH/noo4+UEef7R1Xu3r0rK1askPj4eJPEXFRt2rSRBg0a6Ey/KHjP3L17V7p27Srz58/XaS9LTpw4IQ0bNpQXXnhBKlasKL1799aZy1uYqVOnSq1atUrklJbTp0+LjY2NTJ06VUT+e68X/Lt7926pUaOG9OrVS0RErly5IiqVSubOnWuSeM3RlStXxMrKSj7++GMRuXd26quvvhILCwtlJZIC93+WzJo1q8Rd+HX9+nXp3LmzNGrUSCIiIpT2gukFd+7cEX9/f1m0aJEJozStEydOiKenp3h4eIi1tbW0bt1a7t69+9D+ubm5MnnyZJ2Ls8l8sXAuoQqWRVOpVA891Zefny/Lli0TtVotR48elaysLBk5cmSJ/OP+tFy/fl2Zq1cwp+zmzZsyadIkpXgumLZR0qctFMQfHR0t7u7u4uXlJTExMTqvb8qUKVK1alU5f/68KUM1mYKLQz/88EO5cOGCzJ07V6ytreWTTz4REf25vFu3bpXhw4eLo6Oj2a+EUJicnBx5+eWXxdnZWSIjI5X2B1/nN998I+XKlZPDhw+LiMjcuXNLxLKLz9LPP/+s8zg7O1uWL1/+2OK5JIqKihJra2tp2bKl/PTTT0p7wbrlrq6uZfbvTMGFoRMmTJDjx48r1xfdPwXj/gGJH374QT744AOpUqWKHDt2zAQR05Ni4VyCXb16VXx8fKRhw4Z6oxYFv5hxcXGiUqnkjz/+EBFexFPg6tWrIqI/ulYwwvxg8VzYyHNJcP8HdMFr0Gq1snXrVqlTp45UrlxZOnXqJG+99ZYEBgaW6fVCT58+LXZ2djorquTm5oqLi4t069ZNb/T9559/lr59+0pgYGCJLiKPHj0q/v7+0rVrV9m8ebPSfv+83ISEBKlYsaJs3bpVRPRX3Cirrl27pnfDqPs/I3Jych5aPJu7wlbRuf//++7du8XNzU2qVKki/v7+0q9fvzK/5vD58+fF0tJS5/91Zmam1KxZU3r06KHX/9ChQ9KtWzfp0aNHif4MKWtKxqQqKpSzszO2bt0Ka2trvPzyyzh37pyyrWBu1JkzZ9CgQQN4enrqtJdlFy5cgKurKwYPHoyJEyciJSVFmctbvnx55ObmomLFipgwYQI6d+6MqKgohISEIDc3t0TM+ZX/P18O+O//d25uLsqXL4/ExERs3rwZ3bt3R1RUFAYOHAhbW1v8+++/aNasGaKiotC8eXNThm8y69evx82bN+Hp6YmMjAwAwOzZs5GamoqcnBwMGzYMy5Ytw759+wAAgYGBmDt3LlavXo0GDRqYMnSjiQiaNWuGOXPmICcnB1999RV++eUXAPfeOwXvn9OnT6N69epo2LAhgHu/J2Xd5cuXUb9+ffTr1w8TJkxAYmKi8hmRn58PALC0tMSgQYPwxRdfYPbs2fjoo49MHLVhrly5gv79+2PXrl1Km1arRfny5ZGUlITNmzejXbt2iIiIwOjRo5GXl4dbt26hUaNGZfYzJD8/H1u2bIGdnR20Wq3S/sUXXyAxMRHx8fH4+OOPMWLECJw5cwaZmZlo0aIFVqxYge+++67EfoaUSSYu3KkYXLt2Tby9vQsdeR45cqS89tpryu2USeTAgQNSrlw5GT16tAwdOlRcXV1l+vTp8uuvv+r1vXnzpnzwwQfSuXNnZZTanCUkJMj7778vL7/8srIcVMFZhosXL4qbm5veAvxl3f1rL48YMUKef/55WbdunUydOlXs7e1l8eLF8vvvv8vo0aPl5ZdfFisrK2nSpEmJG0F8mIKR9GPHjknHjh0lICBAZ9pBfn6+vP/++/LKK6/wc+Q+f/75p9SrV09+/PFHadOmjXTr1k0CAwPl3LlzyhrNBe7evSuLFy8WJycnuXbtmokiNtz58+fF19dXunfvLn/++afS/vfff4tGo5Fx48bx7OV9srKyREQkJSVFWWZu2rRpMn/+fHF0dJSlS5dKZGSkLFy4UPz8/KRu3bri6OhYpueBl2QsnEuYwk69i9ybq9u8eXNp0KCBUjxPmTJFnJ2dS+xFbE/Thx9+KNOmTRMRka+++ko++OADcXFxkaFDh8oPP/yg0zczM1NSU1NNEeYTiY2NlSpVqkjv3r3ljTfeEEtLS+UCrqtXr0qNGjVkyJAhJXaN4achNjZWmjdvrjO3cNiwYeLg4CC2trY6NzwpEBUVJRMmTNA7RV8SPO70+4kTJ6Rjx47StWtXpXieNm2aVKlShaeSC9GxY0dl3feIiAgJCgoST09P6du3r2zevFnndywrK6tE3SDnr7/+kq5du0pAQIAcOHBARERcXV3lnXfe0Xld9xfQZfEz5ciRI1K9enVJSkoSkXsDWbNmzZK6deuKSqWSPXv26O2zd+9emTlzJu+pUEKxcC4BHrz1rch/f+wSExMlPDxcRP4beW7evLm89957Ym1tXWbnmj1MQR6XLVsmTZs2Ve7SJCLi6+srTk5O0rx5c/Hy8pKVK1fK33//bapQn8jx48fF2tpauao/NzdX3n//fQkJCZHs7Gw5f/68LFy4UETK5h+3wsTGxoqVlZVMmjRJRHTnpo4ZM0aqVq0qX3/9tVLs3H9TgpI42nb58mV57bXXlOsdRES5MDQpKUk2bdokIvfy0rFjR+nVq5f06tVLKlSowM+RBxTc1e3PP/+Uzp076wxOeHp6iru7u5QvX1769u2rd4e9kqSgeO7atausWLFCfv311xL53n9aYmNjpVKlSvLBBx/otF+9elXCwsLEw8NDJkyYoLSX5buvliYsnM2cIafeR40apRRD//77rzRu3FhUKlWJvMr/acjKypLbt29LRkaGTnuLFi1k8uTJIiIyYMAAcXd3l3379kl8fLz06tVLmjZtWiJuo52UlCROTk7y2muv6bS//vrr0qRJE6lbt668+uqrsnr1ahNFaH4KrnyfOHGiTnvBqJGIyLvvvivPP/+8fPHFF8qp95L8peNJTr/HxsaKl5eXODk58XPk/7t7966kpaXptF2+fFmaNm0qS5cuFZF7nyMuLi5y/vx5OXr0qLz99tvi6ekpFy9eNEXIxeKvv/6Sl156Sbp166bzvinJvwvFITY2VmewokDB35nU1FSZNWuWNGjQQMaNG6dsL2kXmJM+Fs5m7ElPvRe4du2aTgFQliUkJMjgwYOlX79+smTJEp2VAr788kt58803pWvXrlK1alVlqa0C169fN0XIT+zChQvSokULCQwMlKioKBG5tz6sjY2NTJ8+XVasWCH169eXunXrPnY94rLgzJkzolarlbtoFpgzZ44MGzZM5//7u+++Kx4eHjJ//ny9L14lkSGn3+9fBz4xMdFksZqThIQEeeutt8THx0eWLVsmIv/l6fvvvxdPT0/p3LmzuLi46IzO37p1SzIzM00Sc3FKSEhQ3jf79u0zdTgmd+rUKVGr1TJz5kyd9hkzZkinTp2UkeWCaRtNmjThnRRLERbOZoqn3ovuxIkT4uLiImPGjJGffvpJbwmt8+fPi4uLi1SqVEkuXLigtJfEEYGCgigwMFDeeecdcXZ2lt9++03ZnpiYKCqVSpYvX27CKE3vzp07EhQUJI6OjrJz506lveCLRsFaxve/V4KCgqRZs2Ylan7qozzu9HthU8PKshMnTkjVqlVl3Lhxsm3bNp3pXSL/fXGtW7euzrz30pbDv/76S3r06CGtWrWS/fv3mzock9FqtTJq1ChRqVQ6ZxJmzZoljo6OykXm958Fnjp1qrRq1apEXGBOj8fC2Qzx1HvRJSYmSu3atXVOkYn892FWUCh8+eWX0qpVqxIzl/lREhISpEuXLmJtba1M68nPz5ecnBy5fPmyNGnSROdmBWXVH3/8Ia+88oq0b99e9u/fL4sXLxYHBwedLxoPethNhkoqnn43TFJSktSuXVu5s2iBB/M0efJkcXNzU+Y+l9Y8nj59Wl599dUyfybi4sWL8tJLL4mzs7OkpaXJ559/Lg4ODjp3UrxfWlqa/Pvvv884SnpaWDibIZ56L7oVK1ZI+/btJSkp6ZF/xP7880+pW7eu/O9//3uG0T09586dE39/f+nWrZvs3btXaZ8yZYrUqlWrzE7huXXrlqSkpCijhYcPH5ZevXpJ3bp1Ra1WKyNo959tmDlzpnzxxRcmifdZ4On3x1u+fLm0bt36oV+cCt4v//77rzRt2lTCwsKeZXgmUfDloKzJzMyUK1euKO+FgluPW1paSsWKFQsdhQ8LC+NgRSnEwtlM8dR70bz11lvi6+tb6LaCQrpg7c3XXntNmjRpUmquFr9/HuvRo0dl9uzZUqFChTJ7kdepU6ekU6dOUq9ePalZs6asWLFCRO7dtatHjx7SrFkzvdHmqVOnipWVVam/BS5Pvz9acHCwtG3bttBtBZ8jBYVkYGCgdOnShSsnlEJxcXHSuXNnqVmzpjRo0ECmTp0qIvcuAAwODpaKFSsqZy0L/o6EhoaKSqXi4FYpxMLZjPHUu3Hy8vJk0KBB0rFjRxH5b8mtB02ePFlWrlwpR48elXPnzj3LEJ+6goLI2dlZLC0t5ciRI6YOySRiY2PFzs5OhgwZIgsXLpQePXqIWq2W//u//xORe2ccevfuLe3bt5ctW7aIyL2iuUKFCmUmZzz9/nDvvfeeNGzYUG9e8/1ef/11+f777+XChQuSkJDwDKOjZ6Fgyblhw4bJsmXL5OWXXxZXV1eZP3++iNybzvPSSy9JlSpV5PTp0yJy72+LWq3mMo6lFAtnM8dT74a7f0rGl19+KSqVSnbv3i0i94rp+7dfv35d+vbtK9u2bXvmcT4rZ86ckcDAQImLizN1KCZx8uRJqVixorLkYAFPT0/p2LGj8n6IioqS3r17S0BAgLJucVkpmguU1dPvD1MwahgWFiYVKlSQn3/+WZmWcf/nSGZmpvTv37/QG+VQyXf69GmxsbGRTz75RGn7999/xcvLSwICApS2y5cvy0svvSTVqlWTIUOGiI2NTZn7DClLWDiXADz1/mh37tyRu3fvKitj5OXlydWrV6VFixZSpUqVQk9BT506VZo2bSqXLl16xtE+Ww8bbS/t8vLy5I033hCVSqXMSSw4hT5o0CDp1auX3Lp1S+m/b98+ad++vTg7O/P3qowq+BxJSUlRlh7Mz8+Xpk2bSr169WT37t3Ke6igeJ46dao0btyYAxilUE5Ojrz88svi7OysrLZT8OVpzJgx0qlTJ50zEZcvX5aAgACxsLDgSHMpx8K5hOCp98KdPn1a+vXrJw0bNpQqVapI69atZd68eZKTkyO7d++W+vXri52dnSxZskSioqJk48aN8vbbb4tGoyn181fLuqtXr4qPj480bNhQuV30P//8IzY2NrJ48WK9/ocPH2YBVEbFx8fLK6+8Ik2aNBFra2tp1KiRzJgxQ0REjh49Kg0bNhQ3NzeZMmWKnDx5Ur7//nt57733xM7OjnNYS7GjR4+Kv7+/dO3aVTmrcOXKFbGxsVGWg71fYmJiqVuBh/SpRERAJUJCQgLGjx+PsLAwNGzY0NThmNzJkyfRtm1bvPHGG3jhhRfg7OyMpUuX4vTp0+jQoQP+X3v3HhzT/f9x/Lmbi0QT1ySGCoIUnRBVJAQdVRkVt45etHXJ6GhHWhpiGGWiLiFIhFSRjF60MmZQl0TRqYxxv0RJUFWXCgnTrh2XuOa2+/3DZEmjv992Kjkhr8efn7Nn531mds557Wff+/msWbOGnJwcEhMTWb9+Pe7u7vj7+xMQEEBCQgJBQUFGX4JUMqvVSv/+/SkpKWHRokVERkYSERHBl19+CUDZ7c9kMhlZphjoxIkT9OzZk/fee4/OnTtjMpnIyMhg06ZNDB8+nMTERIqLi/nggw/Iysri2rVrBAQE0LZtW+bPn6/7yDPKbrdjMpnIyclh4sSJeHt7ExERwezZsxk0aBBLly4t9zqpORScnzLFxcW4ubkZXYbhLBYLr732GhEREcybN88xXlxcTGxsLF999RWDBg1ixYoVuLq68ttvv1FQUECTJk2oV68e3t7eBlYvVclqtRIREUFWVhbvvvsuaWlpANhsNsxms8HViZEsFgv9+vUjPDyc+Ph4x/jVq1dZt24dMTExREZGsnz5cgAuXryIxWKhZcuWuLu76z7yjCsLxdnZ2cTExHD48GHCwsLYvn07ACUlJbi6uhpcpVQ1PTWeMgrND1y4cAEPDw9Gjx5NaWkp8PBLRWxsLIMHDyYjI4OsrCwA2rVrR0hICP7+/nrYPcMenQcoKSkBwMfHh61bt9KrVy+ys7M5d+4cgEKzkJubS1FRESNHjgQefn58fX0ZMWIEsbGxpKSksHnzZgCaN29Oly5daNiwoe4jz5j79+9XGCt7tnTs2JGlS5fStWtXxy8SAK6urmjusebRk0OeSidPnuTkyZP4+fnh4uICPPhSYbPZ8PT0ZO7cuRQXF7N3716DK5XKZn/wXw3gYctF2UzQpUuXSEtLo2HDhqxfv57atWvz5ptvcvr0aSNLlmoiOzub/Px8XnzxRaD8Fy9vb2/eeOMN6tWrR15enlElShW4fPkyI0eOZOfOnY6x4uJiXF1dycvLY9OmTbRr145FixZRVFREamoq69atA9TmVRMpOMtTqX79+tjtdk6dOgU8+NkdHs4i1q1bl0aNGlFQUGBYjVL5zpw5w/jx4xk6dCiJiYnAg8+Cq6srFy9epFu3bhw+fBi73Y6Pjw/bt2/nzp07jB49muLiYoOrF6O1a9eOO3fusHHjRqDirxBt27alcePGXLx40YjypIoUFhaSn59PYmKiY7LFzc2NCxcu0L59e/bt24fNZiM4OJikpCSuXLnC2rVruX37tsGVixEUnOWpFB4ejo+PD/PnzwcePPBsNptjxujWrVv4+Pg4/kSpn9OePTk5OfTo0YP8/Hxq1arF1KlTSUhIwGw2Y7FYeOWVV4iIiGDx4sWOWaGGDRty6NAh0tLS1PYk+Pn54evry+rVqzlz5oxj3GazYbPZsFqteHt706VLFwOrlMrWsmVLVq1aRWlpKXPmzOHQoUMAdO/enbfeeosFCxZgNpux2+106NCBVatWkZCQgJeXl8GVixEUnOWpY7PZ8PLyYvr06fz4448MGzaMO3fuYDabHQEpKSmJ/Px8wsLCAP2c9qw5fvw43bp1Y8yYMWzcuJHVq1fz0UcfcfnyZYqKirh9+zbR0dGkpqZWOLdBgwYEBAQYULVUB49+iW7Tpg1xcXFs3LiR+Ph4jh07Bjz4Im42m0lOTsZisRAaGmpUuVJFAgMDSU5OxmQy8fnnn7Ny5Uq++eYbUlJSyj0/7HY7QUFBNG/e3MBqxUhaVUOqtdzcXOx2+2ODjtVqJTU1lfj4eJo1a0bfvn3x9vYmNzeXLVu2kJmZyUsvvWRA1VKZ8vLy6NSpE71792bt2rWO8WHDhnH69Gnu3r1LcHAwAwYMYNSoUQZWKtXF5cuXOXHiBP369QMqLkO4ZMkSJkyYQNu2bQkPD8fLy4u8vDzS09PJzMykU6dOhtUuVevs2bNER0djt9v57LPP6NGjB6Bl5+QhzThLtWWz2RgzZgxhYWGcP3++wnEfHx8+/vhjtmzZwvPPP09mZibbtm3jueeeY9++fQrNz6jS0lICAgIoLCxk3759AMTHx5ORkcHQoUOZPHkyv/76K3FxceTk5BhcrRitqKiITz75hFmzZrFlyxag4i9Qn376KVu3biU4OJiMjAwyMzOpXbs2Bw4cUGiuYQIDA0lKSsJutzNnzhz2798P6FdLeUgzzlKtWSwWBg8ezK1bt9i0aROtW7d2HPv7DEDZckJubm6OlTbk2XT27FnGjx+Pu7s7fn5+pKen8/333xMeHg7ApUuXaNGiBStWrODDDz80uFox2pEjR5g2bRpms5mxY8cyaNAg4MGXc5PJ5LiPlJaWYjKZMJvNlJaW6j5Sg509e5aJEyditVpJSkpSu444aMZZqjU/Pz8yMjLw9PRkyJAhjjV44eEMwL1790hKSsJqteLh4aGHXQ0QGBjIkiVLuHfvHmlpaUyePJnw8HDsdjvFxcW4uLjQoUMHGjRoYHSpYjC73U7nzp1ZsGABRUVFLF++nPT0dKD8KhpFRUUsW7aMHTt2VDgmNU9gYCALFy6kadOmNGnSxOhypBrRnUGqPR8fH7Zt2+YIz2fPnnUcKyoqYsqUKcTExHD37l0Dq5Sq9sILL7B8+XJ69uxJZmYme/bswWQy4ebmRkpKCgUFBYSEhBhdphjMZDJht9sJDg4mMTHREZDLNjUxmUzcv3+f6OhoYmJiaNWqlWNcara2bduSlpZGs2bNjC5FqhG1aki182gLxqNbml67do2+fftSWFjIpk2bCAgIIDo6mq+//pq9e/eqp7mGKmvbsNvtzJs3j59//pkZM2awf/9+fSZqoPv37+Ph4VFu7NH7yIkTJ4iOjsbd3d3RthEdHc3KlSvZtWsXL7/8shFli8hTQsFZqoW//8sdyu/+tmfPHt5//32sViuvv/46hYWFtG/fns2bN7N79279gaeGK+tHPHz4MNevX+fAgQMKQDXQ5cuXmTBhAmPHjqV3797Agx3g3NzcyMvL45dffmHIkCHk5OQwceJEPDw8KCwsZP/+/ezdu1f3ERH5f6lVQwz3b3d/27ZtGy4uLqxZs0YPOwEe9CMmJCQQGhrKsWPHFJprqH+7A9xff/1FTk4O+/fv131ERJyiGWcxVE5ODn379iUsLAwPDw9++OEH5s6dy6RJk7BYLHTt2pXw8PAKi9BbrVbu3buHv7+/gdVLdVM2uyg116OtOzNnziQkJITGjRszYMAAUlNTHT3PJpOJ33//HU9PT/WwiojTFJzFMMePHyc0NJQJEyYQFxdHaWkp0dHRuLq6Mn/+fPLz80lPT3csRq8/64iIM8rCM8DQoUNp2rQp4eHhjpUyHtcaJiLiDLVqiCHy8vLo06cPAwYMIC4uDgAXFxeuXr3Kzp07CQoKYsqUKdSvXx/QA05EnFe2fbLZbGbDhg14eXmVC82Prt0sIvJvKDiLIbT7m4hUJu0AJyKVQa0aYhjt/iYilU07wInIk6QZZzGMdn8TkcqmHeBE5EnSjLMY7vz580RFReHi4sLUqVPp2bMnALGxsaxevZpdu3Zp9QwR+U+Kiopwd3c3ugwRecopOEu1oN3fREREpLpTcJZqQ7u/iYiISHWmHmepNrT7m4iIiFRnmnGWake7v4mIiEh1pOAsIiIiIuIEtWqIiIiIiDhBwVlERERExAkKziIiIiIiTlBwFhERERFxgoKziIiIiIgTFJxFRMQpkZGRmEwmcnNzK+X9c3NzMZlMREZGVsr7i4j8VwrOIiLPmLIA2q9fP6NLERF5pig4i4iIiIg4QcFZRERERMQJCs4iIjXUlStXmDFjBqGhofj5+VGrVi1atGhBVFQUFovlH88rLS1l3rx5tG7dGg8PDwIDA1m4cCE2m+2xr9+9ezcDBw7Ex8eHWrVqERgYyPTp07l7925lXZqISKVwNboAERExxu7du0lMTKRPnz6EhITg5ubGsWPHWL58OT/99BNHjx6lbt26Fc6Ljo7m4MGDvP3223h4eLBhwwYmT57MuXPnSElJKffaFStWEBUVRf369Rk4cCC+vr5kZWURFxfHzp072blzJ+7u7lV1ySIi/4mCs4hIDfXqq6/y559/4uXlVW78u+++Y9SoUSxdupRp06ZVOC8rK4ucnByaNGkCwMyZM+nevTupqakMHz6cnj17AnDq1CnGjRtHx44d2bFjBw0aNHC8R3x8PFOnTuWLL74gJiamEq9SROTJUauGiEgN5efnVyE0A4wYMYI6deqwY8eOx543fvx4R2gG8PLyIjY2FoBVq1Y5xlNSUigpKSE5OblcaAaYPHkyvr6+rFmz5klciohIldCMs4hIDbZhwwZSUlI4evQo169fp7S01HHsypUrjz2nbEb5cWPZ2dmOsYMHDwKwffv2x4ZwNzc3Tp8+/V/KFxGpUgrOIiI1VGJiIpMmTcLX15fw8HCaNm2Kp6cnAIsXL6awsPCx5/n5+T12zGw2c/PmTcfYtWvXAIiLi6uE6kVEqp6Cs4hIDVRSUsLs2bNp0qQJ2dnZ+Pr6Oo7Z7XYWLFjwj+daLBbatGlTYcxms5X7M2GdOnUAKCgowNvb+wlfgYhI1VOPs4hIDWS1Wrl58yahoaHlQjPAkSNHuHfv3j+eu2fPnn8c69ixo2MsJCQEeNiyISLytFNwFhGpgfz8/PD09OTo0aPl1lO+fv0648aN+z/PTU5OLtf/fPv2bWbNmgXAyJEjHeNRUVG4uroybtw48vLyKrzPjRs3OHbs2H+9FBGRKqNWDRGRZ9SJEyeIjIx87LFOnToRFRVFYmIiwcHBDBw4kIKCArZt20bz5s3LrZrxd126dCE4OJh33nmHWrVqsWHDBnJzcxkzZgy9evVyvC4oKIhly5YxduxY2rRpQ//+/WnVqhUFBQX88ccf7Nq1i8jISFasWPGkL11EpFIoOIuIPKOuXLlSbnm4R924cYN169bRoEEDvv32W5YtW0ajRo0YNmwYM2fOJCgo6B/fd/Hixaxdu5aVK1eSn5+Pv78/8+fPf+x6zGPGjKFjx44sWrSI3bt3k56eTt26dWnWrBkTJkxg1KhRT+x6RUQqm8lut9uNLkJEREREpLpTj7OIiIiIiBMUnEVEREREnKDgLCIiIiLiBAVnEREREREnKDiLiIiIiDhBwVlERERExAkKziIiIiIiTlBwFhERERFxgoKziIiIiIgTFJxFRERERJyg4CwiIiIi4gQFZxERERERJyg4i4iIiIg44X+g8ymb4D1sFwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "ner_stats.plot(x='label', y='count', kind='bar', legend=False, grid=True, figsize=(8, 5), rot=45)\n",
    "plt.title(\"All IOB labels\", fontsize=14)\n",
    "plt.ylabel('Number of occurencies', fontsize=14)\n",
    "plt.xlabel('Label', fontsize=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "bf82b7f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B-DATE</td>\n",
       "      <td>438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B-LOCATION</td>\n",
       "      <td>594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B-ORG</td>\n",
       "      <td>1171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B-PERSON</td>\n",
       "      <td>2117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I-DATE</td>\n",
       "      <td>532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>I-LOCATION</td>\n",
       "      <td>367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>I-ORG</td>\n",
       "      <td>891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>I-PERSON</td>\n",
       "      <td>1006</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        label  count\n",
       "0      B-DATE    438\n",
       "1  B-LOCATION    594\n",
       "2       B-ORG   1171\n",
       "3    B-PERSON   2117\n",
       "4      I-DATE    532\n",
       "5  I-LOCATION    367\n",
       "6       I-ORG    891\n",
       "7    I-PERSON   1006"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We'll exclude the 'O' token as it represents tokens that are not part of annotated labels\n",
    "\n",
    "ner_stats = ner_stats[ner_stats['label'] != 'O']\n",
    "ner_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "5557f5df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Label')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x700 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "ner_stats.plot(x='label', y='count', kind='bar', legend=False, grid=True, figsize=(8, 5), rot=45)\n",
    "plt.title(\"All IOB labels\", fontsize=14)\n",
    "plt.ylabel('Number of occurencies', fontsize=14)\n",
    "plt.xlabel('Label', fontsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff9b892e",
   "metadata": {},
   "source": [
    "### Train IOB labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "738fa0bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Good</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>catch.</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NY</td>\n",
       "      <td>B-LOCATION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>law</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>should</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72855</th>\n",
       "      <td>voicemail.</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72856</th>\n",
       "      <td>Thank</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72857</th>\n",
       "      <td>you.</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72858</th>\n",
       "      <td>Karen</td>\n",
       "      <td>B-PERSON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72859</th>\n",
       "      <td>x39757</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72860 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             word       label\n",
       "0            Good           O\n",
       "1          catch.           O\n",
       "2              NY  B-LOCATION\n",
       "3             law           O\n",
       "4          should           O\n",
       "...           ...         ...\n",
       "72855  voicemail.           O\n",
       "72856       Thank           O\n",
       "72857        you.           O\n",
       "72858       Karen    B-PERSON\n",
       "72859      x39757           O\n",
       "\n",
       "[72860 rows x 2 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_ds = generate_word_label_dataset(train_ner_data)\n",
    "train_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "86f505c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B-DATE</td>\n",
       "      <td>356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B-LOCATION</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B-ORG</td>\n",
       "      <td>937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B-PERSON</td>\n",
       "      <td>1649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I-DATE</td>\n",
       "      <td>424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>I-LOCATION</td>\n",
       "      <td>277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>I-ORG</td>\n",
       "      <td>707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>I-PERSON</td>\n",
       "      <td>811</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        label  count\n",
       "0      B-DATE    356\n",
       "1  B-LOCATION    446\n",
       "2       B-ORG    937\n",
       "3    B-PERSON   1649\n",
       "4      I-DATE    424\n",
       "5  I-LOCATION    277\n",
       "6       I-ORG    707\n",
       "7    I-PERSON    811"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_stats = train_ds.groupby('label').size().reset_index(name='count')\n",
    "train_stats = train_stats[train_stats['label'] != 'O']\n",
    "train_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "1d0f4293",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Label')"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x700 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "train_stats.plot(x='label', y='count', kind='bar', legend=False, grid=True, figsize=(8, 5), rot=45)\n",
    "plt.title(\"Train IOB labels\", fontsize=14)\n",
    "plt.ylabel('Number of occurencies', fontsize=14)\n",
    "plt.xlabel('Label', fontsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a5c5f9d",
   "metadata": {},
   "source": [
    "### Validation IOB labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "7b93082f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Al</td>\n",
       "      <td>B-PERSON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>:</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Per</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>my</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>voice</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9077</th>\n",
       "      <td>database</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9078</th>\n",
       "      <td>!</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9079</th>\n",
       "      <td>!Unknown</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9080</th>\n",
       "      <td>database.</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9081</th>\n",
       "      <td>Alias</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9082 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           word     label\n",
       "0            Al  B-PERSON\n",
       "1             :         O\n",
       "2           Per         O\n",
       "3            my         O\n",
       "4         voice         O\n",
       "...         ...       ...\n",
       "9077   database         O\n",
       "9078          !         O\n",
       "9079   !Unknown         O\n",
       "9080  database.         O\n",
       "9081      Alias         O\n",
       "\n",
       "[9082 rows x 2 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val_ds = generate_word_label_dataset(val_ner_data)\n",
    "val_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "2ec430bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B-DATE</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B-LOCATION</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B-ORG</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B-PERSON</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I-DATE</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>I-LOCATION</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>I-ORG</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>I-PERSON</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        label  count\n",
       "0      B-DATE     33\n",
       "1  B-LOCATION     70\n",
       "2       B-ORG    102\n",
       "3    B-PERSON    258\n",
       "4      I-DATE     48\n",
       "5  I-LOCATION     48\n",
       "6       I-ORG     74\n",
       "7    I-PERSON    108"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val_stats = val_ds.groupby('label').size().reset_index(name='count')\n",
    "val_stats = val_stats[val_stats['label'] != 'O']\n",
    "val_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "cbe4381d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Label')"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x700 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "val_stats.plot(x='label', y='count', kind='bar', legend=False, grid=True, figsize=(8, 5), rot=45)\n",
    "plt.title(\"Validation IOB labels\", fontsize=14)\n",
    "plt.ylabel('Number of occurencies', fontsize=14)\n",
    "plt.xlabel('Label', fontsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26589b14",
   "metadata": {},
   "source": [
    "### Test IOB labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "ccfd725a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Allright</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>fellas</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>here</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>'s</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>the</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8985</th>\n",
       "      <td>information</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8986</th>\n",
       "      <td>was</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8987</th>\n",
       "      <td>supplied</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8988</th>\n",
       "      <td>me.</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8989</th>\n",
       "      <td>Stuart</td>\n",
       "      <td>B-PERSON</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8990 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             word     label\n",
       "0        Allright         O\n",
       "1          fellas         O\n",
       "2            here         O\n",
       "3              's         O\n",
       "4             the         O\n",
       "...           ...       ...\n",
       "8985  information         O\n",
       "8986          was         O\n",
       "8987     supplied         O\n",
       "8988          me.         O\n",
       "8989       Stuart  B-PERSON\n",
       "\n",
       "[8990 rows x 2 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_ds = generate_word_label_dataset(test_ner_data)\n",
    "test_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "5f215f7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B-DATE</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B-LOCATION</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B-ORG</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B-PERSON</td>\n",
       "      <td>210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I-DATE</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>I-LOCATION</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>I-ORG</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>I-PERSON</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        label  count\n",
       "0      B-DATE     49\n",
       "1  B-LOCATION     78\n",
       "2       B-ORG    132\n",
       "3    B-PERSON    210\n",
       "4      I-DATE     60\n",
       "5  I-LOCATION     42\n",
       "6       I-ORG    110\n",
       "7    I-PERSON     87"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_stats = test_ds.groupby('label').size().reset_index(name='count')\n",
    "test_stats = test_stats[test_stats['label'] != 'O']\n",
    "test_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "4dd9a181",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Label')"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x700 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "test_stats.plot(x='label', y='count', kind='bar', legend=False, grid=True, figsize=(8, 5), rot=45)\n",
    "plt.title(\"Test IOB labels\", fontsize=14)\n",
    "plt.ylabel('Number of occurencies', fontsize=14)\n",
    "plt.xlabel('Label', fontsize=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "819f4062",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Good</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>catch.</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NY</td>\n",
       "      <td>B-LOCATION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>law</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>should</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72855</th>\n",
       "      <td>voicemail.</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72856</th>\n",
       "      <td>Thank</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72857</th>\n",
       "      <td>you.</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72858</th>\n",
       "      <td>Karen</td>\n",
       "      <td>B-PERSON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72859</th>\n",
       "      <td>x39757</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72860 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             word       label\n",
       "0            Good           O\n",
       "1          catch.           O\n",
       "2              NY  B-LOCATION\n",
       "3             law           O\n",
       "4          should           O\n",
       "...           ...         ...\n",
       "72855  voicemail.           O\n",
       "72856       Thank           O\n",
       "72857        you.           O\n",
       "72858       Karen    B-PERSON\n",
       "72859      x39757           O\n",
       "\n",
       "[72860 rows x 2 columns]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "da99377a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Al</td>\n",
       "      <td>B-PERSON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>:</td>\n",
       "      <td>O</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Per</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>my</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>voice</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9077</th>\n",
       "      <td>database</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9078</th>\n",
       "      <td>!</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9079</th>\n",
       "      <td>!Unknown</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9080</th>\n",
       "      <td>database.</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9081</th>\n",
       "      <td>Alias</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9082 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           word     label\n",
       "0            Al  B-PERSON\n",
       "1             :         O\n",
       "2           Per         O\n",
       "3            my         O\n",
       "4         voice         O\n",
       "...         ...       ...\n",
       "9077   database         O\n",
       "9078          !         O\n",
       "9079   !Unknown         O\n",
       "9080  database.         O\n",
       "9081      Alias         O\n",
       "\n",
       "[9082 rows x 2 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "6b8265c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Allright</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>fellas</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>here</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>'s</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>the</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8985</th>\n",
       "      <td>information</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8986</th>\n",
       "      <td>was</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8987</th>\n",
       "      <td>supplied</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8988</th>\n",
       "      <td>me.</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8989</th>\n",
       "      <td>Stuart</td>\n",
       "      <td>B-PERSON</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8990 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             word     label\n",
       "0        Allright         O\n",
       "1          fellas         O\n",
       "2            here         O\n",
       "3              's         O\n",
       "4             the         O\n",
       "...           ...       ...\n",
       "8985  information         O\n",
       "8986          was         O\n",
       "8987     supplied         O\n",
       "8988          me.         O\n",
       "8989       Stuart  B-PERSON\n",
       "\n",
       "[8990 rows x 2 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "e509b48b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save to .csv file format\n",
    "\n",
    "train_ds.to_csv('data/ner/train_word_label.csv', index=False)\n",
    "val_ds.to_csv('data/ner/val_word_label.csv', index=False)\n",
    "test_ds.to_csv('data/ner/test_word_label.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e744d8dd",
   "metadata": {},
   "source": [
    "### Sentiment Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "88e041f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "      <th>entities</th>\n",
       "      <th>sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{'persons': ['Dale', 'Leslie'], 'dates': [], '...</td>\n",
       "      <td>[{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{'persons': ['Chris', 'Hector'], 'dates': [], ...</td>\n",
       "      <td>[{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{'persons': ['Lisa Gang', 'Bill Rust'], 'dates...</td>\n",
       "      <td>[{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{'persons': ['Tina Tate', 'Debra Davidson'], '...</td>\n",
       "      <td>[{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{'persons': ['Bob', 'Becky'], 'dates': [], 'lo...</td>\n",
       "      <td>[{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{'persons': ['John Morris'], 'dates': ['Thursd...</td>\n",
       "      <td>[{'word': 'John Morris', 'tag': 'PERSON'}, {'w...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "1    Our Loan Packages Have Never Been More Attract...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "..                                                 ...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "997  This warning is sent automatically to inform y...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \\\n",
       "0    {'persons': ['Dale', 'Leslie'], 'dates': [], '...   \n",
       "1    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "2    {'persons': ['Chris', 'Hector'], 'dates': [], ...   \n",
       "3    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "4    {'persons': ['Lisa Gang', 'Bill Rust'], 'dates...   \n",
       "..                                                 ...   \n",
       "995  {'persons': ['Tina Tate', 'Debra Davidson'], '...   \n",
       "996  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "997  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "998  {'persons': ['Bob', 'Becky'], 'dates': [], 'lo...   \n",
       "999  {'persons': ['John Morris'], 'dates': ['Thursd...   \n",
       "\n",
       "                                              entities sentiment  \n",
       "0    [{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...   neutral  \n",
       "1                                                   []  positive  \n",
       "2    [{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...  positive  \n",
       "3    [{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...   neutral  \n",
       "4    [{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...   neutral  \n",
       "..                                                 ...       ...  \n",
       "995  [{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...   neutral  \n",
       "996  [{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...   neutral  \n",
       "997                                                 []   neutral  \n",
       "998  [{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...  positive  \n",
       "999  [{'word': 'John Morris', 'tag': 'PERSON'}, {'w...   neutral  \n",
       "\n",
       "[1000 rows x 5 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make a copy of sample DataFrame\n",
    "sent_df = df.copy()\n",
    "sent_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "38f7cf26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "neutral     764\n",
       "positive    169\n",
       "negative     66\n",
       "              1\n",
       "Name: sentiment, dtype: int64"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sent_df['sentiment'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "be81a3a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>prediction</th>\n",
       "      <th>entities</th>\n",
       "      <th>sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>{'persons': ['Dale', 'Leslie'], 'dates': [], '...</td>\n",
       "      <td>[{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>{'persons': ['Chris', 'Hector'], 'dates': [], ...</td>\n",
       "      <td>[{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>{'persons': ['Lisa Gang', 'Bill Rust'], 'dates...</td>\n",
       "      <td>[{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>{'persons': ['Tina Tate', 'Debra Davidson'], '...</td>\n",
       "      <td>[{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>{'persons': [], 'dates': [], 'locations': [], ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>{'persons': ['Bob', 'Becky'], 'dates': [], 'lo...</td>\n",
       "      <td>[{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>{'persons': ['John Morris'], 'dates': ['Thursd...</td>\n",
       "      <td>[{'word': 'John Morris', 'tag': 'PERSON'}, {'w...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>999 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text  \\\n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   \n",
       "1    Our Loan Packages Have Never Been More Attract...   \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...   \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   \n",
       "4    Reservation status has changed to CONFIRMED. S...   \n",
       "..                                                 ...   \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   \n",
       "997  This warning is sent automatically to inform y...   \n",
       "998  If you would like to contribute to the fund fo...   \n",
       "999  Attached please find a proposal by John Morris...   \n",
       "\n",
       "                                            prediction  \\\n",
       "0    {'persons': ['Dale', 'Leslie'], 'dates': [], '...   \n",
       "1    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "2    {'persons': ['Chris', 'Hector'], 'dates': [], ...   \n",
       "3    {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "4    {'persons': ['Lisa Gang', 'Bill Rust'], 'dates...   \n",
       "..                                                 ...   \n",
       "995  {'persons': ['Tina Tate', 'Debra Davidson'], '...   \n",
       "996  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "997  {'persons': [], 'dates': [], 'locations': [], ...   \n",
       "998  {'persons': ['Bob', 'Becky'], 'dates': [], 'lo...   \n",
       "999  {'persons': ['John Morris'], 'dates': ['Thursd...   \n",
       "\n",
       "                                              entities sentiment  \n",
       "0    [{'word': 'Dale', 'tag': 'PERSON'}, {'word': '...   neutral  \n",
       "1                                                   []  positive  \n",
       "2    [{'word': 'Chris', 'tag': 'PERSON'}, {'word': ...  positive  \n",
       "3    [{'word': 'Platts', 'tag': 'ORG'}, {'word': 'T...   neutral  \n",
       "4    [{'word': 'Lisa Gang', 'tag': 'PERSON'}, {'wor...   neutral  \n",
       "..                                                 ...       ...  \n",
       "995  [{'word': 'Tina Tate', 'tag': 'PERSON'}, {'wor...   neutral  \n",
       "996  [{'word': 'iBuyit Payables', 'tag': 'ORG'}, {'...   neutral  \n",
       "997                                                 []   neutral  \n",
       "998  [{'word': 'Bob', 'tag': 'PERSON'}, {'word': 'B...  positive  \n",
       "999  [{'word': 'John Morris', 'tag': 'PERSON'}, {'w...   neutral  \n",
       "\n",
       "[999 rows x 5 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# It seems that one record was no labeled with the given sentiment, we will drop it.\n",
    "\n",
    "sent_df = sent_df[sent_df['sentiment'] != \"\"]\n",
    "sent_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "77c5e78f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "neutral     764\n",
       "positive    169\n",
       "negative     66\n",
       "Name: sentiment, dtype: int64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sent_df['sentiment'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "6007ecad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sentiment</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>negative</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>neutral</td>\n",
       "      <td>764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>positive</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  sentiment  count\n",
       "0  negative     66\n",
       "1   neutral    764\n",
       "2  positive    169"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sent_stats = sent_df.groupby('sentiment').size().reset_index(name='count')\n",
    "sent_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "481df5d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Sentiment')"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x700 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "sent_stats.plot(x='sentiment', y='count', kind='bar', legend=False, grid=True, figsize=(8, 5), rot=45)\n",
    "plt.title(\"Number of records in each sentiment label\", fontsize=14)\n",
    "plt.ylabel('Number of occurencies', fontsize=14)\n",
    "plt.xlabel('Sentiment', fontsize=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "e482d6c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>message_id</th>\n",
       "      <th>text</th>\n",
       "      <th>sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&lt;23119266.1075844369192.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dale:\\n\\nLooks okay  I just made a few changes...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;32592935.1075840757928.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Our Loan Packages Have Never Been More Attract...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&lt;31344186.1075853679126.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Hi Chris, \\n\\nI just called you a while ago an...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;17603763.1075862292350.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Dear ROD ,\\n\\nYou have received this email bec...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;11709436.1075840470552.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Reservation status has changed to CONFIRMED. S...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>&lt;1741932.1075852143251.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>FYI\\n \\nSorry for the late notice, but our off...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>&lt;9742995.1075853136316.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Please do not reply to this e-mail.\\n\\nYou are...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>&lt;4096488.1075860859833.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>This warning is sent automatically to inform y...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>&lt;8043554.1075842592751.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>If you would like to contribute to the fund fo...</td>\n",
       "      <td>positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>&lt;18668217.1075852054375.JavaMail.evans@thyme&gt;</td>\n",
       "      <td>Attached please find a proposal by John Morris...</td>\n",
       "      <td>neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>999 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        message_id  \\\n",
       "0    <23119266.1075844369192.JavaMail.evans@thyme>   \n",
       "1    <32592935.1075840757928.JavaMail.evans@thyme>   \n",
       "2    <31344186.1075853679126.JavaMail.evans@thyme>   \n",
       "3    <17603763.1075862292350.JavaMail.evans@thyme>   \n",
       "4    <11709436.1075840470552.JavaMail.evans@thyme>   \n",
       "..                                             ...   \n",
       "995   <1741932.1075852143251.JavaMail.evans@thyme>   \n",
       "996   <9742995.1075853136316.JavaMail.evans@thyme>   \n",
       "997   <4096488.1075860859833.JavaMail.evans@thyme>   \n",
       "998   <8043554.1075842592751.JavaMail.evans@thyme>   \n",
       "999  <18668217.1075852054375.JavaMail.evans@thyme>   \n",
       "\n",
       "                                                  text sentiment  \n",
       "0    Dale:\\n\\nLooks okay  I just made a few changes...   neutral  \n",
       "1    Our Loan Packages Have Never Been More Attract...  positive  \n",
       "2    Hi Chris, \\n\\nI just called you a while ago an...  positive  \n",
       "3    Dear ROD ,\\n\\nYou have received this email bec...   neutral  \n",
       "4    Reservation status has changed to CONFIRMED. S...   neutral  \n",
       "..                                                 ...       ...  \n",
       "995  FYI\\n \\nSorry for the late notice, but our off...   neutral  \n",
       "996  Please do not reply to this e-mail.\\n\\nYou are...   neutral  \n",
       "997  This warning is sent automatically to inform y...   neutral  \n",
       "998  If you would like to contribute to the fund fo...  positive  \n",
       "999  Attached please find a proposal by John Morris...   neutral  \n",
       "\n",
       "[999 rows x 3 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Keep only relevant column names\n",
    "\n",
    "sent_df = sent_df[['message_id', 'text', 'sentiment']]\n",
    "sent_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "118a05f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save to .csv file format\n",
    "\n",
    "sent_df.to_csv('data/sentiment/data.csv', index=False)"
   ]
  }
 ],
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