NLP.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "cdbf8c2d-a4d5-451a-96f9-fe6903083faa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import nltk\n",
    "from nltk.sentiment import SentimentIntensityAnalyzer\n",
    "from transformers import AutoTokenizer\n",
    "from transformers import AutoModelForSequenceClassification\n",
    "from scipy.special import softmax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "a7f8b112-5647-4a14-85fc-010ce9421efd",
   "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>Product Name</th>\n",
       "      <th>Price</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Number of Ratings</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Review Summary</th>\n",
       "      <th>Review Details</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Classy product</td>\n",
       "      <td>First Impression: Great build no wobble, full ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Worth the money</td>\n",
       "      <td>Overall the product is really nice. Lenovo has...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Horrible</td>\n",
       "      <td>Lenovo worst company I purchased this laptop a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Best in the market!</td>\n",
       "      <td>great build and performance  of every segment ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Super!</td>\n",
       "      <td>Bought it at 53k at sale. 16gb DDR5 Ram (dual ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Product Name    Price  Rating  \\\n",
       "0  Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...  ₹56,990     4.3   \n",
       "1  Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...  ₹56,990     4.3   \n",
       "2  Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...  ₹56,990     4.3   \n",
       "3  Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...  ₹56,990     4.3   \n",
       "4  Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...  ₹56,990     4.3   \n",
       "\n",
       "   Number of Ratings  Number of Reviews       Review Summary  \\\n",
       "0                 68                  8       Classy product   \n",
       "1                 68                  8      Worth the money   \n",
       "2                 68                  8             Horrible   \n",
       "3                 68                  8  Best in the market!   \n",
       "4                 68                  8               Super!   \n",
       "\n",
       "                                      Review Details  \n",
       "0  First Impression: Great build no wobble, full ...  \n",
       "1  Overall the product is really nice. Lenovo has...  \n",
       "2  Lenovo worst company I purchased this laptop a...  \n",
       "3  great build and performance  of every segment ...  \n",
       "4  Bought it at 53k at sale. 16gb DDR5 Ram (dual ...  "
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(r\"D:\\Customer Review Analysis Project\\preprocessed_data.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "61137b7a-a800-431a-a02b-60ef88e2a583",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_weighted_score(row, model):\n",
    "\n",
    "    #Normalizing ratings\n",
    "    normalized_rating = row['Rating']/5\n",
    "\n",
    "    #Calculate sentiment scores for review summary and details\n",
    "    review_summary_score = model(row['Review Summary'])\n",
    "    review_details_score = model(row['Review Details'])\n",
    "\n",
    "    #Review summary sentiment scores\n",
    "    review_summary_negative_val = review_summary_score['neg']\n",
    "    review_summary_neutral_val = review_summary_score['neu']\n",
    "    review_summary_positive_val = review_summary_score['pos']\n",
    "    review_summary_compound_val = review_summary_score['compound']\n",
    "\n",
    "    #Review details sentiment scores\n",
    "    review_details_negative_val = review_details_score['neg']\n",
    "    review_details_neutral_val = review_details_score['neu']\n",
    "    review_details_positive_val = review_details_score['pos']\n",
    "    review_details_compound_val = review_details_score['compound']\n",
    "    \n",
    "    # print(\"Product Name: \", row[\"Product Name\"])\n",
    "    # print(\"Normalized Rating: \", normalized_rating)\n",
    "    # print(\"Normalized number of reviews: \", normalized_rating)\n",
    "    # print(row['Review Summary'])\n",
    "    # print(\"Summary Review Score: \", review_summary_score)\n",
    "    # print(row['Review Details'])\n",
    "    # print(\"Summary Details Score: \", review_details_score)\n",
    "    # print(\"-\" *50)\n",
    "    \n",
    "    #Initializing weights based on imporance of features\n",
    "    weights = {\"Rating\" : 0.2, \"Review Summary\" : 0.3, \"Review Details\" : 0.5}\n",
    "\n",
    "    #Weighted score calculations\n",
    "    weighted_negative_score = (review_summary_negative_val * weights[\"Review Summary\"] + review_details_negative_val * weights[\"Review Details\"])\n",
    "    weighted_neutral_score = (review_summary_neutral_val * weights[\"Review Summary\"] + review_details_neutral_val * weights[\"Review Details\"])\n",
    "    weighted_positive_score = (review_summary_positive_val * weights[\"Review Summary\"] + review_details_positive_val * weights[\"Review Details\"])\n",
    "    \n",
    "    weighted_compound_score = (normalized_rating * weights[\"Rating\"] +\n",
    "                      review_summary_compound_val * weights[\"Review Summary\"] +\n",
    "                      review_details_compound_val * weights[\"Review Details\"])\n",
    "    \n",
    "    return weighted_negative_score, weighted_neutral_score, weighted_positive_score, weighted_compound_score"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87381242-ebc4-41a7-9cce-1e72c29e4227",
   "metadata": {},
   "source": [
    "# VADER Sentiment Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "e0081878-3051-4a59-b660-7641b92848ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'neg': 0.0, 'neu': 0.667, 'pos': 0.333, 'compound': 0.6697}"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Loading the VADER model\n",
    "sia = SentimentIntensityAnalyzer()\n",
    "sia.polarity_scores(\"The laptop is really good and has a lot of cool and latest features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "6af9013e-500f-4a4b-96b7-59216d26f4fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall the product is really nice. Lenovo has included some tweaking features. The only problem that I felt is with the hinge. The laptop screen wobble sometimes.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'neg': 0.091, 'neu': 0.806, 'pos': 0.104, 'compound': 0.101}"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(df['Review Details'][1])\n",
    "sia.polarity_scores(df['Review Details'][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "b5482e52-f4b5-4838-bcd7-983734294517",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calculates the VADER score for some 'text'\n",
    "def calculate_vader_score (text):\n",
    "    return sia.polarity_scores(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "d9d20277-ae13-4574-a555-fd4f2631d3e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Run the polarity score on the entire dataset and create columns for it\n",
    "df[['VADER_neg','VADER_neu','VADER_pos','VADER_compound_score']] = df.apply(calculate_weighted_score, args=(calculate_vader_score,), axis = 1,result_type='expand')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "f712bb29-f369-4a05-be82-ed15c67e21a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>Product Name</th>\n",
       "      <th>Price</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Number of Ratings</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Review Summary</th>\n",
       "      <th>Review Details</th>\n",
       "      <th>VADER_neg</th>\n",
       "      <th>VADER_neu</th>\n",
       "      <th>VADER_pos</th>\n",
       "      <th>VADER_compound_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Classy product</td>\n",
       "      <td>First Impression: Great build no wobble, full ...</td>\n",
       "      <td>0.0390</td>\n",
       "      <td>0.4588</td>\n",
       "      <td>0.3022</td>\n",
       "      <td>0.63937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Worth the money</td>\n",
       "      <td>Overall the product is really nice. Lenovo has...</td>\n",
       "      <td>0.0455</td>\n",
       "      <td>0.5569</td>\n",
       "      <td>0.1981</td>\n",
       "      <td>0.29039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Horrible</td>\n",
       "      <td>Lenovo worst company I purchased this laptop a...</td>\n",
       "      <td>0.4085</td>\n",
       "      <td>0.3250</td>\n",
       "      <td>0.0665</td>\n",
       "      <td>-0.23024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Best in the market!</td>\n",
       "      <td>great build and performance  of every segment ...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.5060</td>\n",
       "      <td>0.2940</td>\n",
       "      <td>0.72768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Super!</td>\n",
       "      <td>Bought it at 53k at sale. 16gb DDR5 Ram (dual ...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.3000</td>\n",
       "      <td>0.36280</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Product Name    Price  Rating  \\\n",
       "0  Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...  ₹56,990     4.3   \n",
       "1  Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...  ₹56,990     4.3   \n",
       "2  Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...  ₹56,990     4.3   \n",
       "3  Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...  ₹56,990     4.3   \n",
       "4  Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...  ₹56,990     4.3   \n",
       "\n",
       "   Number of Ratings  Number of Reviews       Review Summary  \\\n",
       "0                 68                  8       Classy product   \n",
       "1                 68                  8      Worth the money   \n",
       "2                 68                  8             Horrible   \n",
       "3                 68                  8  Best in the market!   \n",
       "4                 68                  8               Super!   \n",
       "\n",
       "                                      Review Details  VADER_neg  VADER_neu  \\\n",
       "0  First Impression: Great build no wobble, full ...     0.0390     0.4588   \n",
       "1  Overall the product is really nice. Lenovo has...     0.0455     0.5569   \n",
       "2  Lenovo worst company I purchased this laptop a...     0.4085     0.3250   \n",
       "3  great build and performance  of every segment ...     0.0000     0.5060   \n",
       "4  Bought it at 53k at sale. 16gb DDR5 Ram (dual ...     0.0000     0.5000   \n",
       "\n",
       "   VADER_pos  VADER_compound_score  \n",
       "0     0.3022               0.63937  \n",
       "1     0.1981               0.29039  \n",
       "2     0.0665              -0.23024  \n",
       "3     0.2940               0.72768  \n",
       "4     0.3000               0.36280  "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "fab2df37-322a-4135-84b6-c03ac1f44410",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Box Plot of VADER compound scores\n",
    "plt.figure(figsize=(12, 8))  \n",
    "sns.boxplot(x='VADER_compound_score', y='Product Name', data=df)  \n",
    "plt.title('Box Plot of VADER Scores by Product')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5aafffa2-6ed1-4881-81cd-d9523fa8d8dc",
   "metadata": {},
   "source": [
    "# ROBERTA Sentiment Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "0e1ca8cb-584a-4698-b73d-32904051932c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at cardiffnlp/twitter-roberta-base-sentiment-latest were not used when initializing RobertaForSequenceClassification: ['roberta.pooler.dense.weight', 'roberta.pooler.dense.bias']\n",
      "- This IS expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    }
   ],
   "source": [
    "#Loading the RoBERTa model\n",
    "MODEL = \"cardiffnlp/twitter-roberta-base-sentiment-latest\"\n",
    "tokenizer = AutoTokenizer.from_pretrained(MODEL)\n",
    "model = AutoModelForSequenceClassification.from_pretrained(MODEL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "e5ac794b-3a54-406e-abb3-548338ce81d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall the product is really nice. Lenovo has included some tweaking features. The only problem that I felt is with the hinge. The laptop screen wobble sometimes.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'neg': 0.091, 'neu': 0.806, 'pos': 0.104, 'compound': 0.101}"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(df['Review Details'][1])\n",
    "sia.polarity_scores(df['Review Details'][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "9707164a-5d2b-40aa-92cf-c008ccedcfba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall the product is really nice. Lenovo has included some tweaking features. The only problem that I felt is with the hinge. The laptop screen wobble sometimes.\n",
      "[0.03172658 0.11405091 0.8542225 ]\n"
     ]
    }
   ],
   "source": [
    "print(df['Review Details'][1])\n",
    "encoded_text = tokenizer(df['Review Details'][1], return_tensors='pt')             \n",
    "output = model(**encoded_text)                                                     \n",
    "scores = output[0][0].detach().numpy()                                             \n",
    "scores = softmax(scores)\n",
    "print(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "8ca71afe-18bf-41cb-a82e-09bb29f74115",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.00265239 0.01006427 0.98728335]\n"
     ]
    }
   ],
   "source": [
    "encoded_text = tokenizer(\"The laptop is really good and has a lot of cool and latest features\", return_tensors='pt')\n",
    "output = model(**encoded_text)\n",
    "scores = output[0][0].detach().numpy()\n",
    "scores = softmax(scores)\n",
    "print(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "97468f4c-519a-4e65-9aa9-3e48040daf10",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_roberta_score(text):\n",
    "    encoded_text = tokenizer(text, return_tensors='pt')                             #Tokenization\n",
    "    output = model(**encoded_text)                                                  #model input\n",
    "    scores = output[0][0].detach().numpy()                                          #post processing\n",
    "    scores = softmax(scores)\n",
    "\n",
    "    negative_score = scores[0]\n",
    "    neutral_score = scores[1]\n",
    "    positive_score = scores[2]\n",
    "    \n",
    "    # Calculating compound score based on negative, neutral and positive scores\n",
    "    compound_score = (negative_score * -1) + (neutral_score * 0) + (positive_score * 1)\n",
    "\n",
    "    scores_dict = {\n",
    "        \"neg\" : scores[0],\n",
    "        \"neu\" : scores[1],\n",
    "        \"pos\" : scores[2],\n",
    "        \"compound\" : compound_score\n",
    "    }\n",
    "    # print(scores_dict)\n",
    "    \n",
    "    return scores_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "0f8fd047-5c43-4864-bfef-a1e4b7d4de9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Run the roBERTa model on the entire dataset and create columns for it\n",
    "df[['RoBERTa_neg','RoBERTa_neu','RoBERTa_pos','RoBERTa_compound_Score']] = df.apply(calculate_weighted_score, args=(calculate_roberta_score,), axis = 1,result_type='expand')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "ab5ba130-b28a-49e0-ab95-973b557d0519",
   "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>Product Name</th>\n",
       "      <th>Price</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Number of Ratings</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Review Summary</th>\n",
       "      <th>Review Details</th>\n",
       "      <th>VADER_neg</th>\n",
       "      <th>VADER_neu</th>\n",
       "      <th>VADER_pos</th>\n",
       "      <th>VADER_compound_score</th>\n",
       "      <th>RoBERTa_neg</th>\n",
       "      <th>RoBERTa_neu</th>\n",
       "      <th>RoBERTa_pos</th>\n",
       "      <th>RoBERTa_compound_Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Classy product</td>\n",
       "      <td>First Impression: Great build no wobble, full ...</td>\n",
       "      <td>0.0390</td>\n",
       "      <td>0.4588</td>\n",
       "      <td>0.3022</td>\n",
       "      <td>0.63937</td>\n",
       "      <td>0.017888</td>\n",
       "      <td>0.098062</td>\n",
       "      <td>0.684050</td>\n",
       "      <td>0.838162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Worth the money</td>\n",
       "      <td>Overall the product is really nice. Lenovo has...</td>\n",
       "      <td>0.0455</td>\n",
       "      <td>0.5569</td>\n",
       "      <td>0.1981</td>\n",
       "      <td>0.29039</td>\n",
       "      <td>0.019649</td>\n",
       "      <td>0.095335</td>\n",
       "      <td>0.685016</td>\n",
       "      <td>0.837367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Horrible</td>\n",
       "      <td>Lenovo worst company I purchased this laptop a...</td>\n",
       "      <td>0.4085</td>\n",
       "      <td>0.3250</td>\n",
       "      <td>0.0665</td>\n",
       "      <td>-0.23024</td>\n",
       "      <td>0.689685</td>\n",
       "      <td>0.084033</td>\n",
       "      <td>0.026282</td>\n",
       "      <td>-0.491403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Best in the market!</td>\n",
       "      <td>great build and performance  of every segment ...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.5060</td>\n",
       "      <td>0.2940</td>\n",
       "      <td>0.72768</td>\n",
       "      <td>0.003588</td>\n",
       "      <td>0.023521</td>\n",
       "      <td>0.772890</td>\n",
       "      <td>0.941302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Super!</td>\n",
       "      <td>Bought it at 53k at sale. 16gb DDR5 Ram (dual ...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.3000</td>\n",
       "      <td>0.36280</td>\n",
       "      <td>0.014775</td>\n",
       "      <td>0.228311</td>\n",
       "      <td>0.556914</td>\n",
       "      <td>0.714139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Simply awesome</td>\n",
       "      <td>Good product and svperipherals  seller has giv...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.4258</td>\n",
       "      <td>0.3742</td>\n",
       "      <td>0.57967</td>\n",
       "      <td>0.011333</td>\n",
       "      <td>0.045562</td>\n",
       "      <td>0.743104</td>\n",
       "      <td>0.903771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Simply awesome</td>\n",
       "      <td>It's performance is really good , but disappoi...</td>\n",
       "      <td>0.0845</td>\n",
       "      <td>0.3558</td>\n",
       "      <td>0.3597</td>\n",
       "      <td>0.46552</td>\n",
       "      <td>0.014475</td>\n",
       "      <td>0.046320</td>\n",
       "      <td>0.739206</td>\n",
       "      <td>0.896731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹56,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>Awesome product and performs well to my expect...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.4035</td>\n",
       "      <td>0.3965</td>\n",
       "      <td>0.71112</td>\n",
       "      <td>0.041478</td>\n",
       "      <td>0.107210</td>\n",
       "      <td>0.651312</td>\n",
       "      <td>0.781834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...</td>\n",
       "      <td>₹47,990</td>\n",
       "      <td>3.7</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>Battery issue, rest is good</td>\n",
       "      <td>First Impression: Great build no wobble, full ...</td>\n",
       "      <td>0.0390</td>\n",
       "      <td>0.5560</td>\n",
       "      <td>0.2050</td>\n",
       "      <td>0.61537</td>\n",
       "      <td>0.030847</td>\n",
       "      <td>0.174560</td>\n",
       "      <td>0.594594</td>\n",
       "      <td>0.711747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - ...</td>\n",
       "      <td>₹99,990</td>\n",
       "      <td>4.6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>Good Value for the Price</td>\n",
       "      <td>Overall the product is really nice. Lenovo has...</td>\n",
       "      <td>0.0455</td>\n",
       "      <td>0.5113</td>\n",
       "      <td>0.2437</td>\n",
       "      <td>0.42908</td>\n",
       "      <td>0.020192</td>\n",
       "      <td>0.129646</td>\n",
       "      <td>0.650162</td>\n",
       "      <td>0.813970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - ...</td>\n",
       "      <td>₹99,990</td>\n",
       "      <td>4.6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>Reliable Performance</td>\n",
       "      <td>Lenovo worst company I purchased this laptop a...</td>\n",
       "      <td>0.1085</td>\n",
       "      <td>0.6250</td>\n",
       "      <td>0.0665</td>\n",
       "      <td>-0.05555</td>\n",
       "      <td>0.486174</td>\n",
       "      <td>0.166514</td>\n",
       "      <td>0.147312</td>\n",
       "      <td>-0.154863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - ...</td>\n",
       "      <td>₹99,990</td>\n",
       "      <td>4.6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>Impressive Battery Life</td>\n",
       "      <td>great build and performance  of every segment ...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.4991</td>\n",
       "      <td>0.3009</td>\n",
       "      <td>0.69198</td>\n",
       "      <td>0.005055</td>\n",
       "      <td>0.022554</td>\n",
       "      <td>0.772391</td>\n",
       "      <td>0.951336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - ...</td>\n",
       "      <td>₹99,990</td>\n",
       "      <td>4.6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>Sleek and Portable</td>\n",
       "      <td>Bought it at 53k at sale. 16gb DDR5 Ram (dual ...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.8000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.18400</td>\n",
       "      <td>0.023274</td>\n",
       "      <td>0.422621</td>\n",
       "      <td>0.354105</td>\n",
       "      <td>0.514831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - ...</td>\n",
       "      <td>₹99,990</td>\n",
       "      <td>4.6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>Lacks High-End Features</td>\n",
       "      <td>Good product and svperipherals  seller has giv...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.6670</td>\n",
       "      <td>0.1330</td>\n",
       "      <td>0.40420</td>\n",
       "      <td>0.231839</td>\n",
       "      <td>0.102031</td>\n",
       "      <td>0.466130</td>\n",
       "      <td>0.418291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800...</td>\n",
       "      <td>₹1,24,990</td>\n",
       "      <td>4.3</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>Good choice</td>\n",
       "      <td>It's performance is really good , but disappoi...</td>\n",
       "      <td>0.0845</td>\n",
       "      <td>0.3738</td>\n",
       "      <td>0.3417</td>\n",
       "      <td>0.41017</td>\n",
       "      <td>0.019210</td>\n",
       "      <td>0.085054</td>\n",
       "      <td>0.695736</td>\n",
       "      <td>0.848527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,19,990</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>Sluggish and Unresponsive</td>\n",
       "      <td>Awesome product and performs well to my expect...</td>\n",
       "      <td>0.1722</td>\n",
       "      <td>0.5313</td>\n",
       "      <td>0.0965</td>\n",
       "      <td>0.43498</td>\n",
       "      <td>0.279334</td>\n",
       "      <td>0.109032</td>\n",
       "      <td>0.411634</td>\n",
       "      <td>0.320300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,19,990</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>Poor Screen Quality</td>\n",
       "      <td>First Impression: Great build no wobble, full ...</td>\n",
       "      <td>0.2214</td>\n",
       "      <td>0.4996</td>\n",
       "      <td>0.0790</td>\n",
       "      <td>0.38024</td>\n",
       "      <td>0.253516</td>\n",
       "      <td>0.082719</td>\n",
       "      <td>0.463766</td>\n",
       "      <td>0.398250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,19,990</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>Constant Overheating</td>\n",
       "      <td>Overall the product is really nice. Lenovo has...</td>\n",
       "      <td>0.0455</td>\n",
       "      <td>0.7030</td>\n",
       "      <td>0.0520</td>\n",
       "      <td>0.23850</td>\n",
       "      <td>0.084792</td>\n",
       "      <td>0.256315</td>\n",
       "      <td>0.458893</td>\n",
       "      <td>0.562101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,19,990</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>Cheap Build Quality</td>\n",
       "      <td>Lenovo worst company I purchased this laptop a...</td>\n",
       "      <td>0.1085</td>\n",
       "      <td>0.6250</td>\n",
       "      <td>0.0665</td>\n",
       "      <td>-0.05155</td>\n",
       "      <td>0.504630</td>\n",
       "      <td>0.193072</td>\n",
       "      <td>0.102298</td>\n",
       "      <td>-0.214333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,19,990</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>Terrible Customer Service</td>\n",
       "      <td>great build and performance  of every segment ...</td>\n",
       "      <td>0.1824</td>\n",
       "      <td>0.5036</td>\n",
       "      <td>0.1140</td>\n",
       "      <td>0.39979</td>\n",
       "      <td>0.278711</td>\n",
       "      <td>0.031726</td>\n",
       "      <td>0.489563</td>\n",
       "      <td>0.398853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,19,990</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>Battery Drains Quickly</td>\n",
       "      <td>Bought it at 53k at sale. 16gb DDR5 Ram (dual ...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.8000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.18800</td>\n",
       "      <td>0.017113</td>\n",
       "      <td>0.416996</td>\n",
       "      <td>0.365891</td>\n",
       "      <td>0.536778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,19,990</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>Decent for Basic Tasks</td>\n",
       "      <td>Good product and svperipherals  seller has giv...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.6670</td>\n",
       "      <td>0.1330</td>\n",
       "      <td>0.40820</td>\n",
       "      <td>0.024617</td>\n",
       "      <td>0.198506</td>\n",
       "      <td>0.576876</td>\n",
       "      <td>0.740259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,19,990</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>Affordable Entry-Level Option</td>\n",
       "      <td>It's performance is really good , but disappoi...</td>\n",
       "      <td>0.0845</td>\n",
       "      <td>0.5970</td>\n",
       "      <td>0.1185</td>\n",
       "      <td>0.29405</td>\n",
       "      <td>0.018336</td>\n",
       "      <td>0.274450</td>\n",
       "      <td>0.507214</td>\n",
       "      <td>0.676877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹98,990</td>\n",
       "      <td>4.4</td>\n",
       "      <td>88</td>\n",
       "      <td>18</td>\n",
       "      <td>Good quality product</td>\n",
       "      <td>Awesome product and performs well to my expect...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.5259</td>\n",
       "      <td>0.2741</td>\n",
       "      <td>0.67567</td>\n",
       "      <td>0.036271</td>\n",
       "      <td>0.090723</td>\n",
       "      <td>0.673006</td>\n",
       "      <td>0.812736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹98,990</td>\n",
       "      <td>4.4</td>\n",
       "      <td>88</td>\n",
       "      <td>18</td>\n",
       "      <td>Highly recommended</td>\n",
       "      <td>First Impression: Great build no wobble, full ...</td>\n",
       "      <td>0.0390</td>\n",
       "      <td>0.4789</td>\n",
       "      <td>0.2821</td>\n",
       "      <td>0.59273</td>\n",
       "      <td>0.013371</td>\n",
       "      <td>0.049091</td>\n",
       "      <td>0.737538</td>\n",
       "      <td>0.900167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹98,990</td>\n",
       "      <td>4.4</td>\n",
       "      <td>88</td>\n",
       "      <td>18</td>\n",
       "      <td>Worth every penny</td>\n",
       "      <td>Overall the product is really nice. Lenovo has...</td>\n",
       "      <td>0.0455</td>\n",
       "      <td>0.5569</td>\n",
       "      <td>0.1981</td>\n",
       "      <td>0.29439</td>\n",
       "      <td>0.018519</td>\n",
       "      <td>0.076608</td>\n",
       "      <td>0.704872</td>\n",
       "      <td>0.862353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹98,990</td>\n",
       "      <td>4.4</td>\n",
       "      <td>88</td>\n",
       "      <td>18</td>\n",
       "      <td>Classy product</td>\n",
       "      <td>Lenovo worst company I purchased this laptop a...</td>\n",
       "      <td>0.1085</td>\n",
       "      <td>0.4018</td>\n",
       "      <td>0.2897</td>\n",
       "      <td>0.06857</td>\n",
       "      <td>0.484514</td>\n",
       "      <td>0.083971</td>\n",
       "      <td>0.231515</td>\n",
       "      <td>-0.076999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹98,990</td>\n",
       "      <td>4.4</td>\n",
       "      <td>88</td>\n",
       "      <td>18</td>\n",
       "      <td>Very poor</td>\n",
       "      <td>great build and performance  of every segment ...</td>\n",
       "      <td>0.2316</td>\n",
       "      <td>0.4544</td>\n",
       "      <td>0.1140</td>\n",
       "      <td>0.37312</td>\n",
       "      <td>0.247839</td>\n",
       "      <td>0.058612</td>\n",
       "      <td>0.493549</td>\n",
       "      <td>0.421710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹98,990</td>\n",
       "      <td>4.4</td>\n",
       "      <td>88</td>\n",
       "      <td>18</td>\n",
       "      <td>Good choice</td>\n",
       "      <td>Bought it at 53k at sale. 16gb DDR5 Ram (dual ...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.5768</td>\n",
       "      <td>0.2232</td>\n",
       "      <td>0.30812</td>\n",
       "      <td>0.022550</td>\n",
       "      <td>0.260198</td>\n",
       "      <td>0.517252</td>\n",
       "      <td>0.670702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹98,990</td>\n",
       "      <td>4.4</td>\n",
       "      <td>88</td>\n",
       "      <td>18</td>\n",
       "      <td>Wonderful</td>\n",
       "      <td>Good product and svperipherals  seller has giv...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3670</td>\n",
       "      <td>0.4330</td>\n",
       "      <td>0.56777</td>\n",
       "      <td>0.009333</td>\n",
       "      <td>0.049142</td>\n",
       "      <td>0.741525</td>\n",
       "      <td>0.908192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹98,990</td>\n",
       "      <td>4.4</td>\n",
       "      <td>88</td>\n",
       "      <td>18</td>\n",
       "      <td>Must buy!</td>\n",
       "      <td>It's performance is really good , but disappoi...</td>\n",
       "      <td>0.0845</td>\n",
       "      <td>0.5970</td>\n",
       "      <td>0.1185</td>\n",
       "      <td>0.28205</td>\n",
       "      <td>0.011781</td>\n",
       "      <td>0.058957</td>\n",
       "      <td>0.729262</td>\n",
       "      <td>0.893481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹98,990</td>\n",
       "      <td>4.4</td>\n",
       "      <td>88</td>\n",
       "      <td>18</td>\n",
       "      <td>Delightful</td>\n",
       "      <td>Awesome product and performs well to my expect...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.4035</td>\n",
       "      <td>0.3965</td>\n",
       "      <td>0.71932</td>\n",
       "      <td>0.033350</td>\n",
       "      <td>0.079102</td>\n",
       "      <td>0.687549</td>\n",
       "      <td>0.830199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹98,990</td>\n",
       "      <td>4.4</td>\n",
       "      <td>88</td>\n",
       "      <td>18</td>\n",
       "      <td>Really Nice</td>\n",
       "      <td>First Impression: Great build no wobble, full ...</td>\n",
       "      <td>0.0390</td>\n",
       "      <td>0.4552</td>\n",
       "      <td>0.3058</td>\n",
       "      <td>0.65387</td>\n",
       "      <td>0.014333</td>\n",
       "      <td>0.053219</td>\n",
       "      <td>0.732448</td>\n",
       "      <td>0.894114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,04,990</td>\n",
       "      <td>4.5</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>Absolute rubbish!</td>\n",
       "      <td>Overall the product is really nice. Lenovo has...</td>\n",
       "      <td>0.0455</td>\n",
       "      <td>0.7030</td>\n",
       "      <td>0.0520</td>\n",
       "      <td>0.23050</td>\n",
       "      <td>0.270303</td>\n",
       "      <td>0.092551</td>\n",
       "      <td>0.437146</td>\n",
       "      <td>0.346842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,04,990</td>\n",
       "      <td>4.5</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>Mind-blowing purchase</td>\n",
       "      <td>Lenovo worst company I purchased this laptop a...</td>\n",
       "      <td>0.1085</td>\n",
       "      <td>0.6250</td>\n",
       "      <td>0.0665</td>\n",
       "      <td>-0.05955</td>\n",
       "      <td>0.505095</td>\n",
       "      <td>0.096217</td>\n",
       "      <td>0.198688</td>\n",
       "      <td>-0.126408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,04,990</td>\n",
       "      <td>4.5</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>Wonderful</td>\n",
       "      <td>great build and performance  of every segment ...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3860</td>\n",
       "      <td>0.4140</td>\n",
       "      <td>0.70637</td>\n",
       "      <td>0.005507</td>\n",
       "      <td>0.028670</td>\n",
       "      <td>0.765824</td>\n",
       "      <td>0.940317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,04,990</td>\n",
       "      <td>4.5</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>Did not meet expectations</td>\n",
       "      <td>Bought it at 53k at sale. 16gb DDR5 Ram (dual ...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.8000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.18000</td>\n",
       "      <td>0.183034</td>\n",
       "      <td>0.305395</td>\n",
       "      <td>0.311571</td>\n",
       "      <td>0.308538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,04,990</td>\n",
       "      <td>4.5</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>Delightful</td>\n",
       "      <td>Good product and svperipherals  seller has giv...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3670</td>\n",
       "      <td>0.4330</td>\n",
       "      <td>0.57597</td>\n",
       "      <td>0.008170</td>\n",
       "      <td>0.049039</td>\n",
       "      <td>0.742791</td>\n",
       "      <td>0.914622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,04,990</td>\n",
       "      <td>4.5</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>Awesome</td>\n",
       "      <td>It's performance is really good , but disappoi...</td>\n",
       "      <td>0.0845</td>\n",
       "      <td>0.2970</td>\n",
       "      <td>0.4185</td>\n",
       "      <td>0.47352</td>\n",
       "      <td>0.013816</td>\n",
       "      <td>0.055469</td>\n",
       "      <td>0.730715</td>\n",
       "      <td>0.896899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...</td>\n",
       "      <td>₹1,04,990</td>\n",
       "      <td>4.5</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>Worth the money</td>\n",
       "      <td>Awesome product and performs well to my expect...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.5574</td>\n",
       "      <td>0.2426</td>\n",
       "      <td>0.61544</td>\n",
       "      <td>0.034686</td>\n",
       "      <td>0.101039</td>\n",
       "      <td>0.664275</td>\n",
       "      <td>0.809589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800...</td>\n",
       "      <td>₹1,09,990</td>\n",
       "      <td>4.1</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>Wonderful</td>\n",
       "      <td>First Impression: Great build no wobble, full ...</td>\n",
       "      <td>0.0390</td>\n",
       "      <td>0.3820</td>\n",
       "      <td>0.3790</td>\n",
       "      <td>0.67082</td>\n",
       "      <td>0.012407</td>\n",
       "      <td>0.051784</td>\n",
       "      <td>0.735810</td>\n",
       "      <td>0.887403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800...</td>\n",
       "      <td>₹1,09,990</td>\n",
       "      <td>4.1</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>Highly recommended</td>\n",
       "      <td>Overall the product is really nice. Lenovo has...</td>\n",
       "      <td>0.0455</td>\n",
       "      <td>0.4999</td>\n",
       "      <td>0.2551</td>\n",
       "      <td>0.29598</td>\n",
       "      <td>0.020440</td>\n",
       "      <td>0.070809</td>\n",
       "      <td>0.708751</td>\n",
       "      <td>0.852312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800...</td>\n",
       "      <td>₹1,09,990</td>\n",
       "      <td>4.1</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>Must buy!</td>\n",
       "      <td>Lenovo worst company I purchased this laptop a...</td>\n",
       "      <td>0.1085</td>\n",
       "      <td>0.6250</td>\n",
       "      <td>0.0665</td>\n",
       "      <td>-0.07555</td>\n",
       "      <td>0.478339</td>\n",
       "      <td>0.046751</td>\n",
       "      <td>0.274910</td>\n",
       "      <td>-0.039429</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Product Name      Price  Rating  \\\n",
       "0   Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...    ₹56,990     4.3   \n",
       "1   Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...    ₹56,990     4.3   \n",
       "2   Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...    ₹56,990     4.3   \n",
       "3   Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...    ₹56,990     4.3   \n",
       "4   Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...    ₹56,990     4.3   \n",
       "5   Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...    ₹56,990     4.3   \n",
       "6   Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...    ₹56,990     4.3   \n",
       "7   Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...    ₹56,990     4.3   \n",
       "8   Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core ...    ₹47,990     3.7   \n",
       "9   Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - ...    ₹99,990     4.6   \n",
       "10  Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - ...    ₹99,990     4.6   \n",
       "11  Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - ...    ₹99,990     4.6   \n",
       "12  Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - ...    ₹99,990     4.6   \n",
       "13  Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - ...    ₹99,990     4.6   \n",
       "14  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800...  ₹1,24,990     4.3   \n",
       "15  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,19,990     4.7   \n",
       "16  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,19,990     4.7   \n",
       "17  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,19,990     4.7   \n",
       "18  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,19,990     4.7   \n",
       "19  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,19,990     4.7   \n",
       "20  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,19,990     4.7   \n",
       "21  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,19,990     4.7   \n",
       "22  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,19,990     4.7   \n",
       "23  Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...    ₹98,990     4.4   \n",
       "24  Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...    ₹98,990     4.4   \n",
       "25  Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...    ₹98,990     4.4   \n",
       "26  Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...    ₹98,990     4.4   \n",
       "27  Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...    ₹98,990     4.4   \n",
       "28  Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...    ₹98,990     4.4   \n",
       "29  Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...    ₹98,990     4.4   \n",
       "30  Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...    ₹98,990     4.4   \n",
       "31  Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...    ₹98,990     4.4   \n",
       "32  Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800...    ₹98,990     4.4   \n",
       "33  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,04,990     4.5   \n",
       "34  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,04,990     4.5   \n",
       "35  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,04,990     4.5   \n",
       "36  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,04,990     4.5   \n",
       "37  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,04,990     4.5   \n",
       "38  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,04,990     4.5   \n",
       "39  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800...  ₹1,04,990     4.5   \n",
       "40  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800...  ₹1,09,990     4.1   \n",
       "41  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800...  ₹1,09,990     4.1   \n",
       "42  Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800...  ₹1,09,990     4.1   \n",
       "\n",
       "    Number of Ratings  Number of Reviews                 Review Summary  \\\n",
       "0                  68                  8                 Classy product   \n",
       "1                  68                  8                Worth the money   \n",
       "2                  68                  8                       Horrible   \n",
       "3                  68                  8            Best in the market!   \n",
       "4                  68                  8                         Super!   \n",
       "5                  68                  8                 Simply awesome   \n",
       "6                  68                  8                 Simply awesome   \n",
       "7                  68                  8                      Excellent   \n",
       "8                   7                  1    Battery issue, rest is good   \n",
       "9                   7                  5       Good Value for the Price   \n",
       "10                  7                  5           Reliable Performance   \n",
       "11                  7                  5        Impressive Battery Life   \n",
       "12                  7                  5             Sleek and Portable   \n",
       "13                  7                  5        Lacks High-End Features   \n",
       "14                 25                  1                    Good choice   \n",
       "15                  3                  8      Sluggish and Unresponsive   \n",
       "16                  3                  8            Poor Screen Quality   \n",
       "17                  3                  8           Constant Overheating   \n",
       "18                  3                  8            Cheap Build Quality   \n",
       "19                  3                  8      Terrible Customer Service   \n",
       "20                  3                  8         Battery Drains Quickly   \n",
       "21                  3                  8         Decent for Basic Tasks   \n",
       "22                  3                  8  Affordable Entry-Level Option   \n",
       "23                 88                 18           Good quality product   \n",
       "24                 88                 18             Highly recommended   \n",
       "25                 88                 18              Worth every penny   \n",
       "26                 88                 18                 Classy product   \n",
       "27                 88                 18                      Very poor   \n",
       "28                 88                 18                    Good choice   \n",
       "29                 88                 18                      Wonderful   \n",
       "30                 88                 18                      Must buy!   \n",
       "31                 88                 18                     Delightful   \n",
       "32                 88                 18                    Really Nice   \n",
       "33                 56                  7              Absolute rubbish!   \n",
       "34                 56                  7          Mind-blowing purchase   \n",
       "35                 56                  7                      Wonderful   \n",
       "36                 56                  7      Did not meet expectations   \n",
       "37                 56                  7                     Delightful   \n",
       "38                 56                  7                        Awesome   \n",
       "39                 56                  7                Worth the money   \n",
       "40                 25                  3                      Wonderful   \n",
       "41                 25                  3             Highly recommended   \n",
       "42                 25                  3                      Must buy!   \n",
       "\n",
       "                                       Review Details  VADER_neg  VADER_neu  \\\n",
       "0   First Impression: Great build no wobble, full ...     0.0390     0.4588   \n",
       "1   Overall the product is really nice. Lenovo has...     0.0455     0.5569   \n",
       "2   Lenovo worst company I purchased this laptop a...     0.4085     0.3250   \n",
       "3   great build and performance  of every segment ...     0.0000     0.5060   \n",
       "4   Bought it at 53k at sale. 16gb DDR5 Ram (dual ...     0.0000     0.5000   \n",
       "5   Good product and svperipherals  seller has giv...     0.0000     0.4258   \n",
       "6   It's performance is really good , but disappoi...     0.0845     0.3558   \n",
       "7   Awesome product and performs well to my expect...     0.0000     0.4035   \n",
       "8   First Impression: Great build no wobble, full ...     0.0390     0.5560   \n",
       "9   Overall the product is really nice. Lenovo has...     0.0455     0.5113   \n",
       "10  Lenovo worst company I purchased this laptop a...     0.1085     0.6250   \n",
       "11  great build and performance  of every segment ...     0.0000     0.4991   \n",
       "12  Bought it at 53k at sale. 16gb DDR5 Ram (dual ...     0.0000     0.8000   \n",
       "13  Good product and svperipherals  seller has giv...     0.0000     0.6670   \n",
       "14  It's performance is really good , but disappoi...     0.0845     0.3738   \n",
       "15  Awesome product and performs well to my expect...     0.1722     0.5313   \n",
       "16  First Impression: Great build no wobble, full ...     0.2214     0.4996   \n",
       "17  Overall the product is really nice. Lenovo has...     0.0455     0.7030   \n",
       "18  Lenovo worst company I purchased this laptop a...     0.1085     0.6250   \n",
       "19  great build and performance  of every segment ...     0.1824     0.5036   \n",
       "20  Bought it at 53k at sale. 16gb DDR5 Ram (dual ...     0.0000     0.8000   \n",
       "21  Good product and svperipherals  seller has giv...     0.0000     0.6670   \n",
       "22  It's performance is really good , but disappoi...     0.0845     0.5970   \n",
       "23  Awesome product and performs well to my expect...     0.0000     0.5259   \n",
       "24  First Impression: Great build no wobble, full ...     0.0390     0.4789   \n",
       "25  Overall the product is really nice. Lenovo has...     0.0455     0.5569   \n",
       "26  Lenovo worst company I purchased this laptop a...     0.1085     0.4018   \n",
       "27  great build and performance  of every segment ...     0.2316     0.4544   \n",
       "28  Bought it at 53k at sale. 16gb DDR5 Ram (dual ...     0.0000     0.5768   \n",
       "29  Good product and svperipherals  seller has giv...     0.0000     0.3670   \n",
       "30  It's performance is really good , but disappoi...     0.0845     0.5970   \n",
       "31  Awesome product and performs well to my expect...     0.0000     0.4035   \n",
       "32  First Impression: Great build no wobble, full ...     0.0390     0.4552   \n",
       "33  Overall the product is really nice. Lenovo has...     0.0455     0.7030   \n",
       "34  Lenovo worst company I purchased this laptop a...     0.1085     0.6250   \n",
       "35  great build and performance  of every segment ...     0.0000     0.3860   \n",
       "36  Bought it at 53k at sale. 16gb DDR5 Ram (dual ...     0.0000     0.8000   \n",
       "37  Good product and svperipherals  seller has giv...     0.0000     0.3670   \n",
       "38  It's performance is really good , but disappoi...     0.0845     0.2970   \n",
       "39  Awesome product and performs well to my expect...     0.0000     0.5574   \n",
       "40  First Impression: Great build no wobble, full ...     0.0390     0.3820   \n",
       "41  Overall the product is really nice. Lenovo has...     0.0455     0.4999   \n",
       "42  Lenovo worst company I purchased this laptop a...     0.1085     0.6250   \n",
       "\n",
       "    VADER_pos  VADER_compound_score  RoBERTa_neg  RoBERTa_neu  RoBERTa_pos  \\\n",
       "0      0.3022               0.63937     0.017888     0.098062     0.684050   \n",
       "1      0.1981               0.29039     0.019649     0.095335     0.685016   \n",
       "2      0.0665              -0.23024     0.689685     0.084033     0.026282   \n",
       "3      0.2940               0.72768     0.003588     0.023521     0.772890   \n",
       "4      0.3000               0.36280     0.014775     0.228311     0.556914   \n",
       "5      0.3742               0.57967     0.011333     0.045562     0.743104   \n",
       "6      0.3597               0.46552     0.014475     0.046320     0.739206   \n",
       "7      0.3965               0.71112     0.041478     0.107210     0.651312   \n",
       "8      0.2050               0.61537     0.030847     0.174560     0.594594   \n",
       "9      0.2437               0.42908     0.020192     0.129646     0.650162   \n",
       "10     0.0665              -0.05555     0.486174     0.166514     0.147312   \n",
       "11     0.3009               0.69198     0.005055     0.022554     0.772391   \n",
       "12     0.0000               0.18400     0.023274     0.422621     0.354105   \n",
       "13     0.1330               0.40420     0.231839     0.102031     0.466130   \n",
       "14     0.3417               0.41017     0.019210     0.085054     0.695736   \n",
       "15     0.0965               0.43498     0.279334     0.109032     0.411634   \n",
       "16     0.0790               0.38024     0.253516     0.082719     0.463766   \n",
       "17     0.0520               0.23850     0.084792     0.256315     0.458893   \n",
       "18     0.0665              -0.05155     0.504630     0.193072     0.102298   \n",
       "19     0.1140               0.39979     0.278711     0.031726     0.489563   \n",
       "20     0.0000               0.18800     0.017113     0.416996     0.365891   \n",
       "21     0.1330               0.40820     0.024617     0.198506     0.576876   \n",
       "22     0.1185               0.29405     0.018336     0.274450     0.507214   \n",
       "23     0.2741               0.67567     0.036271     0.090723     0.673006   \n",
       "24     0.2821               0.59273     0.013371     0.049091     0.737538   \n",
       "25     0.1981               0.29439     0.018519     0.076608     0.704872   \n",
       "26     0.2897               0.06857     0.484514     0.083971     0.231515   \n",
       "27     0.1140               0.37312     0.247839     0.058612     0.493549   \n",
       "28     0.2232               0.30812     0.022550     0.260198     0.517252   \n",
       "29     0.4330               0.56777     0.009333     0.049142     0.741525   \n",
       "30     0.1185               0.28205     0.011781     0.058957     0.729262   \n",
       "31     0.3965               0.71932     0.033350     0.079102     0.687549   \n",
       "32     0.3058               0.65387     0.014333     0.053219     0.732448   \n",
       "33     0.0520               0.23050     0.270303     0.092551     0.437146   \n",
       "34     0.0665              -0.05955     0.505095     0.096217     0.198688   \n",
       "35     0.4140               0.70637     0.005507     0.028670     0.765824   \n",
       "36     0.0000               0.18000     0.183034     0.305395     0.311571   \n",
       "37     0.4330               0.57597     0.008170     0.049039     0.742791   \n",
       "38     0.4185               0.47352     0.013816     0.055469     0.730715   \n",
       "39     0.2426               0.61544     0.034686     0.101039     0.664275   \n",
       "40     0.3790               0.67082     0.012407     0.051784     0.735810   \n",
       "41     0.2551               0.29598     0.020440     0.070809     0.708751   \n",
       "42     0.0665              -0.07555     0.478339     0.046751     0.274910   \n",
       "\n",
       "    RoBERTa_compound_Score  \n",
       "0                 0.838162  \n",
       "1                 0.837367  \n",
       "2                -0.491403  \n",
       "3                 0.941302  \n",
       "4                 0.714139  \n",
       "5                 0.903771  \n",
       "6                 0.896731  \n",
       "7                 0.781834  \n",
       "8                 0.711747  \n",
       "9                 0.813970  \n",
       "10               -0.154863  \n",
       "11                0.951336  \n",
       "12                0.514831  \n",
       "13                0.418291  \n",
       "14                0.848527  \n",
       "15                0.320300  \n",
       "16                0.398250  \n",
       "17                0.562101  \n",
       "18               -0.214333  \n",
       "19                0.398853  \n",
       "20                0.536778  \n",
       "21                0.740259  \n",
       "22                0.676877  \n",
       "23                0.812736  \n",
       "24                0.900167  \n",
       "25                0.862353  \n",
       "26               -0.076999  \n",
       "27                0.421710  \n",
       "28                0.670702  \n",
       "29                0.908192  \n",
       "30                0.893481  \n",
       "31                0.830199  \n",
       "32                0.894114  \n",
       "33                0.346842  \n",
       "34               -0.126408  \n",
       "35                0.940317  \n",
       "36                0.308538  \n",
       "37                0.914622  \n",
       "38                0.896899  \n",
       "39                0.809589  \n",
       "40                0.887403  \n",
       "41                0.852312  \n",
       "42               -0.039429  "
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "3668a70b-5de5-4ef2-83a3-44362261c611",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Box Plot of RoBERTa compound scores\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.boxplot(x='RoBERTa_compound_Score', y='Product Name', data=df)\n",
    "plt.title('Box Plot of RoBERTa Scores by Product')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "be4ba4e8-8fdc-4efd-83ec-9b914388b65f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Product Name', 'Price', 'Rating', 'Number of Ratings',\n",
       "       'Number of Reviews', 'Review Summary', 'Review Details', 'VADER_neg',\n",
       "       'VADER_neu', 'VADER_pos', 'VADER_compound_score', 'RoBERTa_neg',\n",
       "       'RoBERTa_neu', 'RoBERTa_pos', 'RoBERTa_compound_Score'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "1e3b25da-25e5-4dde-b2e8-bfe2373c122b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\shrey\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\shrey\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\shrey\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\shrey\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\shrey\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "C:\\Users\\shrey\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x12108f60850>"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GsWrsNk2stmlBY/Qx8qRxjJEBI5nsqNAtC2dr/kcTIKxyAhIAgFwp8vv9/nwXIpfi3Zm4o6tP//vmh5o0rlwDQyOqKCvRB55+nXrURB3GHcSBvDDaHcU/8PTrYK9Pnv4hOSpLNd5u02RHhSRpX1efVqzfrk1B69UGEjxTEoghbq9Prh6fPP2DclSWyVlly3piKPCZ3f2Dqiovla2kWO4+n6rKy+Sszv7nw3qM1mZhHsHxyFFZpqryUvX0D6m7f1DjKvITkzIRlxPtG2L1L9mUSJt97+9e3fDMqzpmikPN02o1MDSi8fYyHV5bKUdlGX0FkGOJtNsPPP3q8vpUUlysG595NeR+CmNjkNvr0997fVKR1D84MhqHcxWHAKtjfAyYS2n8pxQW3/CINmzfp81BN0ZZ0FinU46MfFY+nmwlv/KRVAMKVaC9eX2DGldh0zVPvhJy86T5jXW6ZeFs1ddVaWptpe5a3Dya8EkmwbOvq09Xr98edjBz66I5mprGCbt48aLGHql8VSl/HgAkIlpsGhuPJufgmDJaWTIVlxPpG9o7e7Xyiej9S74dPsGu6750nK594hXd/dzu0cfnN9bpx1+erQHfsCYxuQQwlMmOitFk990xYlBHV5/++Hanmutrde2TOwwbhwAAyBVmmAfZ19Wn7//6bxHvIj6/sU4/+f+OT+rgKNps9c8cNTGhmabRZCupBhhVPs/GB7e3B5bM1dqteyLGiM8eM1E3fXm2+nzDKZ3Icnt9Wr6uLaRdB7Q2OXXX4uaUTooRL5APzKBBPEaKTdHKcsvC2brhmVf13zsPyG4r0bL5DSEzq4+YWJ2xWZcfePp11X++HHUM+rOvnZDVGZ6JzlS96j9fVlt7V8h3UVFWog/cfZrf6GSmOZBDmepr3V6fdu7vVnGR9K9/2BW1jX/22MmaxExzIGWMjwFzYYZ5EHffYMQDFUnasrtT7r7BhA/i3F6f2v/u1W+379OWMbPVj3BWyW4rSemAwu316ebfvqalp8zQD75wtHr6hzWuolQfePp1y29f080LZ3OggoKUjasu3F5fSBJlkqM8Yoyw20q0+JPTdfWv/xZydUoyyR9Xjy9islySNu1yydXji7g/sfZ7bPmD32/F+u0pJ+FziatpYDbU2fhSiU3ZvGIvWllWPvGKjp9Wqxfe6tSdi5v14NY9ITOrF3y0nEGyCf5I+9Ll9cUcgx7s9eV9SYSDvT61tXfp7vObtXbLmO+isU6fOqJO3X2D1HfAZLq8g7rruV364VnHqq29K3K8+6iN7z7QreKiItXRtwEALI6EeRBP32DM7d39sbcH6+ob1N3P7QpJlkv6KJlWpB8vnJXSIOPvvT5d/tmjtOo3r4ZdKnfdl2bq772Rk2qAlWVrpuLYJHZP/3DE5y2b36AHI8w8TyYx7YkTXyLFn3j7nWoS3iiMNAMVSAR1NjHJxqZsfq+xyrJ5l0tLT5kRNcZvTuHkY7R9+dHZM2W3lcjri9zPePqHEtyj7PH0D+lbrUfowS17Io5vf/T0q1p17sw8lQ5Aqnp9Q9q6u1M9/UPR493uTl371A59afZUTa4p1+oNO3XjubPo2wAAllWc7wIYiaOyLOb2cRWxtwfr8w2HzDQNtnm3S31RDojiKlJYslw6NPvopt+8qqKi1N4WMKt4MxXdXl/K7z02iV1dURLxec3TaqPODAwkf+JxxIkvY+NPIvudShLeKLL5uwLZQJ1NXDKxKdvfa7yyDAyNZCTGS7H35cZnXtWy+Q1RX+uoyP8cF0dFqeY3OqOPb3e55BsayXGpAKSr96Pj0nEVZTHj3dbdnZrkKNeDW/bo6CkO+jYAgKWRMA9SU1mm+Y2Rb+45v7FONXES6sG648wEirc9mv7BkZiX7PYNcqCCwpLITMVUjU1iH/AMRIwRA3ESBIkkpp3VNrU2OSNua21yylkdOnsxkf1ONglvJNn8XYFsoM4mLpnYlO3vNV5ZaivLMhLjpfiz2ecdEX0MOr4q/1cDja+yaXgk9q2PPH35nwkPIDm1Hx3jlpXGn3k1MDSizbs71Tytlr4NAGBpJMyDTK2t1M0LZ4clxOY31unmhbOTuuSsqjzyTNREt0cT76As1UQ8YFbZnEU9Nol99frtuu5LM8NiRLyTaYkkpmvsNt26aE5Y0rz1ozVyx17un8h+J5uENxIzz45HYaLOJi6Z2JTt7zVeWabX2UeTSdEkevIx3r6UlxZHHIPesnB23tcvl6TJjgpVx5npbk9xfAsgfyaNK9eCJqc2vrZfn4hzvFteeih9EDiRSN8GALCq/F/faTDT66r0k//veLn7BtXdP6hxFWWqqSxLen22KlupWhrrIs4Gb2msU5Utta8+3kwoI1yyC+RSNmdRB5LYK9ZvH51Fc8Ev/qS7zz9R13zxOHX3D8lRUSpHZZlam5zaFGHmYDKJ6am1lbprcbNcPb7R+OOsjnxTpUT2e2z5g8sUKQlvJGaeHY/CRJ1NXDKxKdvfa7yyTKmtVGlJsRY0OSPODk8mxsfbl/F2m372tRN0sNcnz0f9y/gqmyGS5QGVZSUxx7eVZSTMAbOpsdt026I5uv6pHfp006So8a6lsU5te7skfZw4p28DAFgV2dUIptZWpn0Dk1p7mb57WpOkQ+u92W0lWja/QfOOqFNpcZF8wyNye5O/4d74KpvmN9aF3WxJMs4lu0AuBWYHppusjibRJHamEtM19sgJ8rES3e9Eyu/2+uTqObTmuaOyTM6qxMqQTdn+XYFMo84mF0sSja25+F7jlWWyo0K3ZSDGJ7IvNXZjJcjHqiwr0fJTGyVJbe1dWja/Qc3TaiVJh9VUjCbRAJjL1NpK3f7V4/X3Xp9uOneWrnvylZD7FbQ01umilgZdvq5NCz5KnJ9+7CRVV5TqrQM9hhpDAgCQCUV+vz/2YoQW4/F4VFNTI7fbLYfDkdXP6ujq0/+++aGmOCo0pbZCP/7NayEDj9Ymp25dNCfp5Hx7Z69++MQrIUnzwCW79XVVGSs/YBTx2u2+rr6YswNzJZAsijc7PFMysd/7uvrCbkKXamyKJJ1kvFF+VyQvl32tkRi1zubipFg2Y4lRvtdMxHij7MtYybTZ9s5e/fntTh0/bbxu+s2rGRnbAkheNvva9w961eUd1H5PvySpbW+X1m7Zo5Pqx+ui+TP0+Lb39IMvHKNrntwREvcXNDl107mzNN5eRuIcGKNQx8eAWZEwzzK316cu76CuHXOWPmBBk1N3L25OekDxgaff0JfsApmUSLvNdbLaKNLZb7fXp+Xr2qIuM3BXCrEpWCYSaIX6u5pdIR8QGK3OZvukmJT9WBL4DCN9r+kw4r4k22bfP+jVivXbMzq2BZCcbPe1gePYXt+Qen3DGldRqpKiIpUUF6mqvFT//Ku/RV265UtzpurTR03k5BkQpJDHx4AZsSRLltXYbTrQPRDxgEKSNu9y6UD3QNIHFZMdFSTIgSCJLmViNenst6vHF/FAR9Lomu2pvrfb6wtL0gXed8X67Qkn0Ar1d4V5GanOZqodxpPNWBJgpO81XVbYF69vOONjWwDGEitWvXWgJ2rc37q7U8taGjLazwAAkGskzHOgqy/23cPdcbZHfI0B1xwGCpGZ26KnP3bs6Y6zPZZcJNAAxJardpjNWJIpZo7VRpSNsS0A84gX9weGRrRpl0sd7n697eol7gIATIeEeQ5U2UpibrfH2T5WLi6vBhCf2duio6Is5vZxcbbHYoYEGmB1uWqH2YwlmWD2WG1EmR7bAjCXeHE/cAPgt129uuyRlyQRdwEA5sKt7CNwe31660CP2toP6q0Pe+T2+tJ6vypbqVoa6yJua2msU5Ut8fMW8S6vTresABKTalvMdHxJh7PaptYmZ8RtrU1OOatTnwVk9AQaUAhy1Q6zGUvSlctxk5Hie7bZbSVRx7YLGp0qLi6y/HcAFLJYcX9Bo1MTqmxau/QfdPj4ytETaIG4+66rtyDiJADA3JhhPkamZyG5vT4VFUnfPa1J0qE13QJaGuv03dOaVGtP/ICVZQ4AY0ilLWZrlmOqSw3U2G26ddEcrVi/XZvGlOm2RXPSiiXOapsWNDkjfkcL8pxAAwpFrtphNmNJukup5GrcVGiz2ItVpOWnNkoKHdvOb6zTkpYZ+so9L8jrG7b0dwAUsmhxPxADLvjFn+X1DWtBY53uXNysy9e1yesb1qZdLu3+sEcX//uLkg71RasXztbhE+z52hUAACIiYR4k0zfHChw8zZ0xXp9qmKAvzp6iZS0NGhgaUXlpsT7w9Ku4KLkysswBYAzJtsVs3Xwv3STN1NpK3bW4Wa4en7r7BzWuokzO6sysMfmdUxs14veHnSj8zkdJFgDZl6t2mI1YkokkdC7GTbm6uaqRuHoH1D84Mjq2LSstVklRkf74dudoYkyy9ncAFLpA3N/v6Vdnj09+KSwGbN7dqRFJy+Y36O7ndks6tL55wOZdLq14fLtuWzRHnxhP0hwAYBwsyRIkkVlIiQo+eJo1tUYXPfSi9rn7Q56zz92vpQ/+Nan3ZZkDwBiSbYuZjC8BmVpqoMZu05GTqnVC/XgdOak6I0kNV49Pyx76q5rrx+uBJXN1zwUn6oElc9VcP17LHkou7gFITa7bYSZjSabiWy7GTdmI70bm9vpUXlqi7zz60ujYtrayTBf84s+6+7ndo4myACt+BwAOqbHbdPRhDk0cVx41Bmzd3anmabWjfwfWNw/YsrtT73Z6WZ4FAGAozDAPkslZSMEHTwNDI/L6hkfPqqfzvoH14jZFODDL9zqhQCFJti1mY5ZjPpZoSnR5BE//YMbiHoDUGK0dJrO8SqbiWy7GTYV29Z+rxyff8Iia62tH69Y9F5wY8zVW+w4AhOoZGIq5vaq8VPdccKJq7WXq8w3LbisJSax39Q2ytCgAwFBImAfJ5Cyk4IOnsWfR03nfbK4TCiBxybbFbMxyzHWSJpnlEbgaBsg/I7XDZJdXyVR8y8W4yUjfcy54+gfl9g7qopYGSYdmj8Yb61Z+dNM/ANYULw72DgzpskdeknRoWbDgdc2lQ8fLnFgDABgJCfMg1RWl+uwxE3Xs1Bo1T6vVwNCIKspK9FL7Qe3c51Z1ReJfV/CgoW1vl1oa60LWDw1IZXZTNtccBpC4ZNpiNmY55jJJk+wavc5qm04/dpKOnuIIi6dvdHi4GgbIgWzNrk72RpyprPGdyfiW7XFToV3956go0x9eP6DX9rkPLe/T0qAJVTZ97thJOiZCzH9tn1svtXfpMEcFY1XAomLFwZbGOrXt7Rr9O3CS7a7FzaOP1dptGk98AAAYCAnzIN6BIf3gC8dq1W9eDbl8eX5jna770kx541xqFix40LB2yx7d+dGAIDhpns7spho7CXLACBJti9mY5ZjLJE2yyyPU2G267kvHaeUTr4TF01sWziZ+ATmQjbiTyo04U1leJdPxLZvjpkK7+s9ZbdMbHR6d/8npenDrHt393G45q2361aXzdO2TOyKOoS/4xZ908owJlvsuABwSLQ62NNbpopYGXb6ubfQxu61E539yuh7aukebxxwbJ3NTZwAAsqnI7/f7812IXPJ4PKqpqZHb7ZbD4QjZ9uYH3brxmVcjzgRvaazTDWfPVNPkcQl/1r6uvtFBg91WomXzG3TKEXUqLytWbaWNWeFAgmK1W7MJzMzM1CzH4DgTEEjSTMngAUdb+0EtvOeFqNufvOwUnVA/fvRvt9en5evaIibJWpucEWeUwjqs1GatIFNxJ9V2nWz8CMhVfMuUTMf3XEq2ze7r6tP1T+0YvYpoQpVNd/z+jZDkV0BLY52a68frc8dMivg7A0iNEfva4DhoKy3Whh37tXbLnpD1ypef1qi29oNRr75mjAirMmKbBRAdM8yDjIz4I3bc0qGZ4cMjyZ1bYOkUAGNlepZjruJMsssj5OOGpAAiy1TcSbVdp7q8itnGUYV09d/U2krd/tXjR3+birKSiMly6dAYellLg+XWcgcQLjgOvnWgJ+JNp5un1Ua9GTVjRACAUZAwD+L1xV5yJfjMeKKCBw2BM+5vu3oTWvMTgPUku/ZvIrKRpBlbzuqK0qSWR8j1DUkBZF+q7Tqd5VXMlITORnw3suB96+z1xX2+1dZyBxBbtNg/MDQS83UHvT65vdGT5oUWawEA+UHCPEhNZeyOtqYy9Zkxqaz5CcBazBIHIpXz9GMn6cdfnqVrn9yR0Bq9ubwhKYDcSLVdF8Ia32aJ75kUvM8PLJkb87mHOSrk9Q2rxp6jwgHIu2ixvzbOMbW7b1DfXdcWMX4WYqwFAOQHCfMg1RWlmt9Ypy0RLimd31in6orUvi631xfWsUuHLjlbsX4767QBBcAscSBaOTfuPCBJ+ulXj1dP/1Dc5RFyeUNSALmRzjjJbMurJMMs8T2Txu5z294utTTWRVzacEFjnTbu/EAvvXvQkt8FgOgixf5YVy22NNapbW9XxPhZiLEWAJA/xfkugJH0DgxpaUuDWhrrQh5vaazT0pYG9Q7EXrIlmkTW/ARgbWaJA7HKuXHnAfX0D+nISdU6oX68jpxUHfXAJDCrqLXJGfK4lWaUAoUm3XFSjd2WUPwwG7PE90wau89rt+zRRVHqxpKWBt2/6W3LfhcAYhsb+yc7KiKOEVsa63RRS4PWbtkjKTx+FmKsBQDkDzPMg7j7BnX5ujYtm9+gZS0NGhgaUXlpsdr2dunydW169JJPpvS+rOULwCxxIJPltPKMUqAQZWucZHZmie+ZNHafvb7hkLpht5XK6xsarRuB+wBZ8bsAkLzAGPH9rj690+kN6UuC7xsWHDMKMdYCAPKHhHkQR0WZvL7hqHftTnXNXdbyBWCWOJDpcprphn0AYsvWOMnszBLfMynSPgfXjQeWzNXF//5i2HOs+F0ASE2N3SZXj0+XPfJS1OcEx4xCjLUAgPxhSZYggTV3I0lnzd1svS8A8zBLHDBLOQHkHvEhskL8XmLt8/yP1iAey6rfBYDUJRM/CzHWAgDyh4R5kGytuctavgDMEgfMUk4AuUd8iKwQv5dY+3zLwtl6o8MT9rhVvwsAqUsmfhZirAUA5E+R3+/357sQueTxeFRTUyO32y2HwxHxOW6vLytr7mbrfQGrS6TdmoVZ4oBZygljslKbRTjiQ2Rm/l5SbbPR9tnM3wVgFlbqa5OJGcQXmJWV2ixQCFjDPIJsrbnLWr4AzBIHzFJOALlHfIisEL+XaPtciN8FgNQlEzOILwCAXGBJFgAAAAAAAAAARMIcAAAAAAAAAABJJMwBAAAAAAAAAJBkgIT5Pffco4aGBlVUVOikk07S5s2bYz5/YGBA11xzjaZPn67y8nIdeeSRWrt2bY5KCwAAAAAAAACwqrze9POxxx7TFVdcoXvuuUctLS267777dOaZZ+q1115TfX19xNd87Wtf0wcffKAHHnhAjY2NOnDggIaGhnJccgAAAAAAAACA1eQ1YX7HHXfo4osv1iWXXCJJWrNmjZ599lnde++9Wr16ddjzf/e73+n555/X22+/rQkTJkiSZsyYkcsiJ83t9cnV45Onf1COyjI5q7irN4DCQQwEjIU2iWyhbgEwM2IYACBY3hLmPp9P27Zt04oVK0IeP+OMM/TCCy9EfM3TTz+tuXPn6ic/+Yl++ctfqqqqSuecc45uuukmVVZW5qLYSdnX1aer12/X5l2u0cdam5y6ddEcTa01XnkBIJOIgYCx0CaRLdQtAGZGDAMAjJW3NcxdLpeGh4c1efLkkMcnT56s/fv3R3zN22+/rS1btmjHjh164okntGbNGv3617/Wd77znaifMzAwII/HE/IvF9xeX1inK0mbdrm0Yv12ub2+nJQDMKN8tVtkDjGwsNBmjY82iWCZbLPULSA36GuzgxiGbKHNAuaW95t+FhUVhfzt9/vDHgsYGRlRUVGRHnnkEZ188sk666yzdMcdd+ihhx5SX19fxNesXr1aNTU1o/+mTZuW8X2IxNXjC+t0AzbtcsnVQ8cLRJOvdovMIQYWFtqs8dEmESyTbZa6BeQGfW12EMOQLbRZwNzyljB3Op0qKSkJm01+4MCBsFnnAVOmTNEnPvEJ1dTUjD527LHHyu/367333ov4mpUrV8rtdo/+27t3b+Z2IgZP/2DM7d1xtgOFLF/tFplDDCwstFnjo00iWCbbLHULyA362uwghiFbaLOAueVtDXObzaaTTjpJGzdu1MKFC0cf37hxo84999yIr2lpadGvfvUr9fT0qLq6WpL05ptvqri4WIcffnjE15SXl6u8vDypsmXihh+OirKY28fF2Q4UslTaLYzFjDGQmz2ljjabmHzWMTO2SWRPJtvsBLtNDyyZq4GhEVWUleil9oNau2WPvL5hSdQtIFPoa7Mj1f6RcSPioc0C5pa3hLkkXXXVVfr617+uuXPnat68ebr//vvV3t6uSy+9VNKhM3Lvv/++Hn74YUnS+eefr5tuukkXXXSRbrzxRrlcLn3/+9/XsmXLMnbTz0zd8MNZbVNrk1ObIlze1drklLOazhSAdZktBnKzJ2RbvuuY2dokzGFfV5+ufXKHNu/+uF61NNbpzsXNunxdm+ZOH0/dAmBoqfSP+e7TAQDZl9c1zM877zytWbNGq1at0gknnKBNmzZpw4YNmj59uiSpo6ND7e3to8+vrq7Wxo0b1dXVpblz5+qCCy7Q2WefrTvvvDMj5cnkDT9q7DbdumiOWpucIY+3Njl126I5nH0GYGlmioHc7AnZZoQ6ZqY2CXMYrde7Q+v11t2denDrHl33peOoWwAML9n+0Qh9OgAg+4r8fr8/34XIJY/Ho5qaGrndbjkcjpBtbx3o0WfveD7qa/9w1ad15KTqpD4vcKlWd/+gxlWUyVnNpVpAsmK1WxibGWJgNmJ/oaPNhjJSHTNDm0TupdJm49XrjVe2qmnyuEwVEcAY9LWZlWj/aKQ+HeZCmwXMJa9LshhNNm74UWPnQBRA4TJDDORmT8g2I9UxM7RJmEO8et07MJSjkgBA+hLtH43UpwMAsoeEeRBuiAWgUBXyjYuI/cg26lhqCjkumUF1eezDCOo1ACtKt0+nbwMAcyBhHsRZbdOCJmfYemSStIAbYgGwqEK/cRE3Q0S2UceSV+hxyej2dfXpxXcPqqWxTlt3d4Ztp14DsKp0+nT6NgAwj7ze9NOIvnNqo1oa60Iea2ms03dObcxTiQAge7hxETdDRPZRx5JDXDK2wO9z029e00UtDWHjZuo1ACtLtU+nbwMAc2GGeRBXj0/LHvqrls1v0LKWBg0Mjai8tFhte7u07KG/6pnl8xn8A7AUV48v4lU10qEBvKvHVxBxb2ptpe5a3MzNEJE11LHEEZeMLfj3uXxdW9i4uXFitaYwUxKAhaXSp9O3AYC5kDAP4ukflNc3rLuf2x1xOzfwAGA13LjoY9wMEdlGHUsMccnYgn+fSOPmJy87RdNVletiAUBOJdun07cBgLmktCTL3r179d57743+/Ze//EVXXHGF7r///owVLB+4KReAQkPcA2A0xCVj4/cBgOQROwHAXFJKmJ9//vn6n//5H0nS/v37dfrpp+svf/mLfvjDH2rVqlUZLWAuBW7gEQk3LwJgRcQ9AEZDXDI2fh8ASB6xEwDMJaWE+Y4dO3TyySdLkv7zP/9Ts2bN0gsvvKBHH31UDz30UCbLl1PclAtAoSHuATAa4pKx8fsAQPKInQBgLimtYT44OKjy8nJJ0n//93/rnHPOkSQdc8wx6ujoyFzp8oCbcgEoNMQ9AEZDXDI2fh8ASB6xEwDMI6WE+cyZM/Vv//Zv+uIXv6iNGzfqpptukiTt27dPdXV1GS1gPnBTLgCFhrgHwGiIS8bG7wMAySN2AoA5pLQky2233ab77rtPn/nMZ7R48WIdf/zxkqSnn356dKkWAAAAAAAAAADMJKUZ5p/5zGfkcrnk8Xg0fvz40ce/9a1vyW63Z6xw+eL2+uTq8cnTPyhHZZmcVZwFBoBsIN4CxkKbRLKoMwCQO8RcAMiNlBLmklRSUqKhoSFt2bJFRUVFOuqoozRjxowMFi0/9nX16er127V5l2v0sdYmp25dNEdTayvzWDIAsBbiLWAstEkkizoDALlDzAWA3ElpSZbe3l4tW7ZMU6ZMUWtrqxYsWKCpU6fq4osvltfrzXQZc8bt9YV1QJK0aZdLK9Zvl9vry1PJAMBaiLeAsdAmkSzqDADkDjEXAHIrpYT5VVddpeeff17PPPOMurq61NXVpaeeekrPP/+8vve972W6jDnj6vGFdUABm3a55OoxTifk9vr01oEetbUf1Fsf9tBBAjCVROMtsQ5mY9Y6a6YxEIyBOgMAuZNIzDXrGAQAjCilJVnWr1+vX//61/rMZz4z+thZZ52lyspKfe1rX9O9996bqfLllKd/MOb27jjbc4VLsQCYXSLxllgHszFznTXLGAjGcTBOIoY6AwCZE6+f7urz6YZnXjXlGAQAjCilGeZer1eTJ08Oe3zSpEmmXpLFUVEWc/u4ONtzgUuxAFhBvHhbVV5KrIOpmL1/NsMYCMbh9vrkGxqJ+RzqDABkTrx+emBwxLRjEAAwopQS5vPmzdP111+v/v7+0cf6+vp04403at68eRkrXK45q21qbXJG3Nba5JSzOv93n+byVwBWEC/e2kqKiXUwFbP3z2YYA8E4XD0+vfB2p1oa6yJuX0CdAYCMitVPL2hy6oW3OyNuM8MYBACMKKUlWf71X/9VX/jCF3T44Yfr+OOPV1FRkV5++WVVVFTo2WefzXQZc6bGbtOti+Zoxfrt2jTmUqbbFs1RjT3/A38umU6M2+uTq8cnT/+gHJVlclbZDPH7AZlm1roeL94e6O6P8WpiHYxn2O/XA0vmamBoRBVlJXqp/aDWbtkjr29YkvHrrBnGQDAOT/+g1m7ZozsXN0uStu7+OFHT0linG8+ZWVB1xqx9MZAo6nj+xeqnrz9nps6+a0vU1xp9DAIARpRSwnzWrFnatWuX/uM//kOvv/66/H6//vEf/1EXXHCBKivNvT7W1NpK3bW4Wa4en7r7BzWuokzOauMMCKxyyXQ2B11mXkMWSEam63quD4ZixdtAkjEas8Q6FIZ9XX266ZlXtXlM0vDOxc26fF2bvL5hU9RZo4+BYByOijJ5fcO6fF2bls1v0LKWBg0Mjai8tFhte7vyXbycSrQvJuEII0ilHnJsZRzR+unOXl/MsbMZxiAAYDQpJcwlqbKyUt/85jczWRbDqLEbdwAbuBRrU4TLvs1yyXQ2B13x1pC9a3GzYX9bIBmZruv5OhiKFm+tEOtQGNxen67+9faQZLn08YzbZfMbtH1vl2nqrJHHQDCO4Bh993O7Q7a1Njn1zfkNeSpZbiXaF5NwhBGkUg85tjKeaP0042YAyKyU1jCXpDfeeEPLly/XZz/7WX3uc5/T8uXL9frrr2eybIggcCnW2PXLzHLJdLZvimb2NWSBRGWyrhvxZoVmj3UoHAe6B7R5d+S2uHV3p045oo46C8shRh+SSF9sxD4WhSfVesixlTkQkwEg81KaYf7rX/9aixcv1ty5c0dv8vmnP/1Js2fP1qOPPqqvfvWrGS0kQpn5kulEBl3p7AdrvKNQZLKuZ7tdpsrMsQ6Fo6svdluzlRZrCjNIYUHE6MT7YiP2sSgsqY71OLYyD2IyAGRWSgnzH/zgB1q5cqVWrVoV8vj111+vq6++moR5Dpj1kulsD7qsssY7EE8m67qRD4bMGutQOKpsJTG32+NsB8ys0GN0In2xkftYFI5U6yHHVuZS6DEZQG61t7fL5Yp8MjYbnE6n6uvrc/Z5KSXM9+/fr2984xthj1944YX66U9/mnahYF3ZHnSx7jEKRSbrOgdDQOqqbKVqaawbXbM8WEtjnapsKd8uBoDBZaIvpo9FLqQ61uPYCgAQSXt7u4455lj19Xlz9pmVlXa9/vrOnCXNUzqK+8xnPqPNmzersbEx5PEtW7ZowYIFGSlYPnEX++zJ9qArsH7bivXbQz6D9dtgNZms6xwMHULsRypq7WX67mlNkhSSNG9prNN3T2tSrf3jJAR1DDC/4HZcU1mmWxbO1g+feCVmX0wfi3xLdayXzWMr+kQAMC+Xy6W+Pq8+uex6OabMyPrneTre0Z/X3iiXy2XshPk555yjq6++Wtu2bdOnPvUpSYfWMP/Vr36lG2+8UU8//XTIc82Eu9hnVzYGXZEGW6zfhkKQybUKV507S9c9tSMs9hXKiSZiP1I9cK+x2zR9gl1fmjNVy1oaNDA0ovLSYh3oHtCMCfbR96COAeYXqR2ffuwkrf7KbHl9w3L3DcpuK1FVeenockxM5oARpFMPkx1vJtKf0icCgDU4pszQhPqj812MrCjy+/3+ZF9UXFyc2JsXFWl4eDjpQmWTx+NRTU2N3G63HA5HyDa316fl69oi3hCltcmpuxY3cxY9QwLfRbpJPgZbhSFWu0V6Am1o27sHtWx+g5qn1UqSDh9fqcMcFQURo9KN/cT2cEZos8n8LpnoS2L1a9keXwDpMlubzYdo7dhuK9Hapf+gnz+3W5t3R48hmRr7AgGptNts18NE+lP6xNQYPUYiPiP0tUCmvPTSSzrppJN0+jUP5iRh/vf2N7Tx5ou0bds2nXjiiVn/PCnFGeYjIyOZLochpHr38ESQ2A2ViRuSuL2+sO9UOvRbrVi/ncEWEMfYNnT3c7tHtwUOWApBOrGf2G5MyfwumepLYvVr2RxfAFZghlgarR0vm9+gu57bFXYfg7ExhJvxwQiyWQ8T7U/pE5NnhhgJAFaT2FTxFM2ePVt79+7N5kdkVLbuYh9v8OD2+lJ630KXyGALQHS0oUNSjf3EdmNK9nfJRTvI1vgCsAKzxNJo7bh5Wm3Em/5KhdWXAon2p/SJyTFLjAQAq8lqwvydd97R4KB5OrxU7x4eD0mp7GCwBaSHNnRIqrGf2G5Myf4uuWgH2RpfAFZgllgarR0PDMW+8rZQ+lIg0f6UPjE5ZomRAGA1WU2Ym03g7uGRpHMXe5JS2cFgC0gPbeiQVGM/sd2Ykv1dctEOsjW+AKzALLE0WjsuL419OFUofSmQaH9Kn5gcs8RIALAaEuZBAncPH9uBp3sXe5JS2cFgC0gPbeiQVGM/sd2Ykv1dctEOsjW+AKzALLE0Wjs+0D2gBfSlQML9KX1icswSIwHAalK66aeVTa2t1F2LmzN693BntU2nHztJR09xqHlarQaGRlRRVqKX2g/qjQ4PA+kUBQZbK9Zv16YxN0BhsAXERxv6WCqxn9huTMn+LrlqB9kYXwBWEEiybYqw5IDREs7R2vGnj5oYFkNOP3aSbjhnplw9Pr3t6pWjskzOKto8rCtafxqtLdAnJsZMMRIArKTI7/f7s/Xm48aN09/+9jcdccQR2fqIpHk8HtXU1MjtdsvhcOTsc9s7e7XyiVdCbgo0v7FOtyycrfq6qpyVw4rcXh+DLYvLV7stFLSh1BHbI8t3m03ld6Ed/P/t3Xl8VPW9//F3SCY7CeJIILIIElYNIFwRqaFaAaHFpdziBVFAXChVFlt+gNaCO7YgVCu4FIJaQIqA1atF8VYggssFElFBiSzGFiIOliwkISH5/v7gZsiQbSaZycw5eT0fj3k8mHPOzPl8z3w/n+/hm5lz0JwFO2ePnCiu9Y9W7VrFNHk8DVG1hiTEOBQZ3kJzN37mce3htBSnFoxOVbJF2oTQFuy8rQ254H92qJEI3ZwFGmL37t3q37+/hj6QrtYduwd8fz/kfKXNj03Srl27dNlllwV8fxLfMG8SeUWleuD1zz3+4y5JH3x9XL99/XM9M7Yf/ylvhMRYJjWAxiCHGobaHpoa+rmQB0Dw2OEXGFVrSF5Rqe5Zk1ntRn3bsl2as34P4wNsjVzwPzvUSACwmoBOmD///PNKSkoK5C4swZs7WzPYAYC1UNtDE58LYE12+qMVdQg4g1zwHzvVSACwggZPmJ88eVJbt25VTk6OSktLPdZNmzZNkjRu3LjGRWcT3NkaAOyH2h6a+FwABBt1CDiDXAAAWFWDJswzMzM1cuRIFRUV6eTJk2rdurVcLpdiY2PVpk0b94Q5zuDO1gBgP9T20MTnAiDYqEPAGeQCAMCqWjTkRTNnztSoUaP0ww8/KCYmRh999JG++eYb9e/fXwsXLvR3jJZXeWfrmnBnawCwJmp7aOJzARBs1CHgDHIBAGBVDZowz8rK0q9//WuFh4crPDxcp06dUocOHfT73/9e999/v79jtLzE2EgtGJ1a7WSh8s7Wdr8WWV5RqQ4cK1Rmzr914PtC5RWV1v8iACGNvKa2h6pAfS70eQDeqq0OXZXi1Lzre+v4yVJqCJoFb8dkxlgAQKhp0CVZHA6HwsLCJElJSUnKyclRz549lZiYqJycHL8GaBfN9c7WR04Ua/b6PR43e0lLcWrB6FQlt4oJYmQAGoq8Pqu51vZQ5+/PhT4PwFdV69CJ4lKdKqvQjoPHNeqZD1RUWk4NQbNR35jMGAsACEU+fcP85ZdfVklJifr166edO3dKkq6++mr97ne/06pVqzRjxgxdeumlAQnUDhJjI3Vxm3j17XieLm4Tb/sJlbyi0monP9KZO6LPWb+Hbw4AFkReV9fcartV+Otzoc8DaKjE2Eg54yO15L1sjfvzx/rTP75WUWm5JGoImpfaxmTGWABAqPJpwnzSpEnKz8/X448/rnbt2kmSHnnkEZ1//vn65S9/qWPHjumFF17wKYClS5eqc+fOio6OVv/+/ZWRkeHV67Zv366IiAj17dvXp/2h6bgKS6ud/FTalu2Sq5ATIMBqyGs0N/R5AI1BDQFqR34AAEKVT5dkMcZIkgYMGOBedsEFF+jtt99u0M7Xrl2rGTNmaOnSpRo8eLCef/55jRgxQnv37lXHjh1rfV1eXp5uu+02/eQnP9F3333XoH0j8PJLyupcX1DPegChh7xGc0OfB9AY1BCgduQHACBU+XzTz8prl/vDU089pcmTJ+uOO+5Qz549tWT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      "text/plain": [
       "<Figure size 1500x1500 with 42 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Correlation analyses on VADER and RoBERTa scores\n",
    "sns.pairplot(data=df,\n",
    "             vars=['VADER_neg','VADER_neu', 'VADER_pos',\n",
    "                  'RoBERTa_neg','RoBERTa_neu', 'RoBERTa_pos'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "9e605590-34a4-4278-989c-247c088aa232",
   "metadata": {},
   "outputs": [],
   "source": [
    "#agrregating scores by grouping reviews for each product\n",
    "aggregate_scores = df.groupby('Product Name').agg({\n",
    "    'VADER_compound_score': 'mean',  # or any other aggregation method\n",
    "    'RoBERTa_compound_Score': 'mean'\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "8df0e298-f838-405d-9390-d374c66d6f6a",
   "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>VADER_compound_score</th>\n",
       "      <th>RoBERTa_compound_Score</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 5500H - (8 GB/512 GB SSD/Windows 11 Home/4 GB Graphics/N...</th>\n",
       "      <td>0.615370</td>\n",
       "      <td>0.711747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 7535HS - (16 GB/512 GB SSD/Windows 11 Home/4 GB Graphics...</th>\n",
       "      <td>0.443289</td>\n",
       "      <td>0.677738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800H - (16 GB/512 GB SSD/Windows 11 Home/6 GB Graphics/NVID...</th>\n",
       "      <td>0.453561</td>\n",
       "      <td>0.711665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - (16 GB/1 TB SSD/Windows 11 Home/6 GB Graphics/NVIDIA GeF...</th>\n",
       "      <td>0.330742</td>\n",
       "      <td>0.508713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H - (16 GB/1 TB SSD/Windows 11 Home/6 GB Graphics/NVIDIA...</th>\n",
       "      <td>0.388893</td>\n",
       "      <td>0.584343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H - (32 GB/1 TB SSD/Windows 11 Home/8 GB Graphics/NVIDIA...</th>\n",
       "      <td>0.286526</td>\n",
       "      <td>0.427386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H - (16 GB/1 TB SSD/Windows 11 Home/6 GB Graphics/NVIDIA...</th>\n",
       "      <td>0.297083</td>\n",
       "      <td>0.566762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H - (32 GB/1 TB SSD/Windows 11 Home/8 GB Graphics/NVIDIA...</th>\n",
       "      <td>0.410170</td>\n",
       "      <td>0.848527</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    VADER_compound_score  \\\n",
       "Product Name                                                               \n",
       "Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 5...              0.615370   \n",
       "Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 7...              0.443289   \n",
       "Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800H...              0.453561   \n",
       "Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - (...              0.330742   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H...              0.388893   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H...              0.286526   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H...              0.297083   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H...              0.410170   \n",
       "\n",
       "                                                    RoBERTa_compound_Score  \n",
       "Product Name                                                                \n",
       "Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 5...                0.711747  \n",
       "Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 7...                0.677738  \n",
       "Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800H...                0.711665  \n",
       "Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - (...                0.508713  \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H...                0.584343  \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H...                0.427386  \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H...                0.566762  \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H...                0.848527  "
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aggregate_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "275d147e-2892-48e3-a0fa-88506d17984d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Avergae score for each product based on both model results\n",
    "aggregate_scores['Combined_Score'] = aggregate_scores.mean(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "977fe45a-65ae-48ba-bb18-0f8f15f19dcf",
   "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>VADER_compound_score</th>\n",
       "      <th>RoBERTa_compound_Score</th>\n",
       "      <th>Combined_Score</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 5500H - (8 GB/512 GB SSD/Windows 11 Home/4 GB Graphics/N...</th>\n",
       "      <td>0.615370</td>\n",
       "      <td>0.711747</td>\n",
       "      <td>0.663558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 7535HS - (16 GB/512 GB SSD/Windows 11 Home/4 GB Graphics...</th>\n",
       "      <td>0.443289</td>\n",
       "      <td>0.677738</td>\n",
       "      <td>0.560513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800H - (16 GB/512 GB SSD/Windows 11 Home/6 GB Graphics/NVID...</th>\n",
       "      <td>0.453561</td>\n",
       "      <td>0.711665</td>\n",
       "      <td>0.582613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - (16 GB/1 TB SSD/Windows 11 Home/6 GB Graphics/NVIDIA GeF...</th>\n",
       "      <td>0.330742</td>\n",
       "      <td>0.508713</td>\n",
       "      <td>0.419728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H - (16 GB/1 TB SSD/Windows 11 Home/6 GB Graphics/NVIDIA...</th>\n",
       "      <td>0.388893</td>\n",
       "      <td>0.584343</td>\n",
       "      <td>0.486618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H - (32 GB/1 TB SSD/Windows 11 Home/8 GB Graphics/NVIDIA...</th>\n",
       "      <td>0.286526</td>\n",
       "      <td>0.427386</td>\n",
       "      <td>0.356956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H - (16 GB/1 TB SSD/Windows 11 Home/6 GB Graphics/NVIDIA...</th>\n",
       "      <td>0.297083</td>\n",
       "      <td>0.566762</td>\n",
       "      <td>0.431923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H - (32 GB/1 TB SSD/Windows 11 Home/8 GB Graphics/NVIDIA...</th>\n",
       "      <td>0.410170</td>\n",
       "      <td>0.848527</td>\n",
       "      <td>0.629348</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    VADER_compound_score  \\\n",
       "Product Name                                                               \n",
       "Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 5...              0.615370   \n",
       "Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 7...              0.443289   \n",
       "Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800H...              0.453561   \n",
       "Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - (...              0.330742   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H...              0.388893   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H...              0.286526   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H...              0.297083   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H...              0.410170   \n",
       "\n",
       "                                                    RoBERTa_compound_Score  \\\n",
       "Product Name                                                                 \n",
       "Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 5...                0.711747   \n",
       "Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 7...                0.677738   \n",
       "Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800H...                0.711665   \n",
       "Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - (...                0.508713   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H...                0.584343   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H...                0.427386   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H...                0.566762   \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H...                0.848527   \n",
       "\n",
       "                                                    Combined_Score  \n",
       "Product Name                                                        \n",
       "Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 5...        0.663558  \n",
       "Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 7...        0.560513  \n",
       "Lenovo Legion 5 AMD AMD Ryzen 7 Octa Core 5800H...        0.582613  \n",
       "Lenovo Legion 5 AMD Ryzen 7 Octa Core 5800H - (...        0.419728  \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H...        0.486618  \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 5800H...        0.356956  \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H...        0.431923  \n",
       "Lenovo Legion 5 Pro AMD Ryzen 7 Octa Core 6800H...        0.629348  "
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aggregate_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "085677e5-1718-418a-99aa-285e76100815",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Product with the highest combined score: Lenovo IdeaPad Gaming 3 AMD Ryzen 5 Hexa Core 5500H - (8 GB/512 GB SSD/Windows 11 Home/4 GB Graphics/N...\n"
     ]
    }
   ],
   "source": [
    "#Finding the BEST PRODUCT\n",
    "best_product = aggregate_scores['Combined_Score'].idxmax()\n",
    "print(\"Product with the highest combined score:\" ,best_product)"
   ]
  }
 ],
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