SentimentAnalysis.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "SentimentAnalysis.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyODSDUK8+3r+Iv3LEEi/NpA",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/SeemaNegi/sentiment-analysis-on-twitter-data/blob/main/SentimentAnalysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ExbSFWGU56v2",
        "outputId": "4e9da20e-457a-4a52-c1a2-51e50cb37f9b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import nltk\n",
        "nltk.download('all')"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading collection 'all'\n",
            "[nltk_data]    | \n",
            "[nltk_data]    | Downloading package abc to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/abc.zip.\n",
            "[nltk_data]    | Downloading package alpino to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/alpino.zip.\n",
            "[nltk_data]    | Downloading package biocreative_ppi to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/biocreative_ppi.zip.\n",
            "[nltk_data]    | Downloading package brown to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/brown.zip.\n",
            "[nltk_data]    | Downloading package brown_tei to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/brown_tei.zip.\n",
            "[nltk_data]    | Downloading package cess_cat to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/cess_cat.zip.\n",
            "[nltk_data]    | Downloading package cess_esp to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/cess_esp.zip.\n",
            "[nltk_data]    | Downloading package chat80 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/chat80.zip.\n",
            "[nltk_data]    | Downloading package city_database to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/city_database.zip.\n",
            "[nltk_data]    | Downloading package cmudict to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/cmudict.zip.\n",
            "[nltk_data]    | Downloading package comparative_sentences to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/comparative_sentences.zip.\n",
            "[nltk_data]    | Downloading package comtrans to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package conll2000 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/conll2000.zip.\n",
            "[nltk_data]    | Downloading package conll2002 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/conll2002.zip.\n",
            "[nltk_data]    | Downloading package conll2007 to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package crubadan to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/crubadan.zip.\n",
            "[nltk_data]    | Downloading package dependency_treebank to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/dependency_treebank.zip.\n",
            "[nltk_data]    | Downloading package dolch to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/dolch.zip.\n",
            "[nltk_data]    | Downloading package europarl_raw to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/europarl_raw.zip.\n",
            "[nltk_data]    | Downloading package floresta to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/floresta.zip.\n",
            "[nltk_data]    | Downloading package framenet_v15 to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/framenet_v15.zip.\n",
            "[nltk_data]    | Downloading package framenet_v17 to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/framenet_v17.zip.\n",
            "[nltk_data]    | Downloading package gazetteers to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/gazetteers.zip.\n",
            "[nltk_data]    | Downloading package genesis to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/genesis.zip.\n",
            "[nltk_data]    | Downloading package gutenberg to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/gutenberg.zip.\n",
            "[nltk_data]    | Downloading package ieer to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/ieer.zip.\n",
            "[nltk_data]    | Downloading package inaugural to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/inaugural.zip.\n",
            "[nltk_data]    | Downloading package indian to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/indian.zip.\n",
            "[nltk_data]    | Downloading package jeita to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package kimmo to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/kimmo.zip.\n",
            "[nltk_data]    | Downloading package knbc to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package lin_thesaurus to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/lin_thesaurus.zip.\n",
            "[nltk_data]    | Downloading package mac_morpho to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/mac_morpho.zip.\n",
            "[nltk_data]    | Downloading package machado to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package masc_tagged to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package moses_sample to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping models/moses_sample.zip.\n",
            "[nltk_data]    | Downloading package movie_reviews to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/movie_reviews.zip.\n",
            "[nltk_data]    | Downloading package names to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/names.zip.\n",
            "[nltk_data]    | Downloading package nombank.1.0 to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package nps_chat to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/nps_chat.zip.\n",
            "[nltk_data]    | Downloading package omw to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/omw.zip.\n",
            "[nltk_data]    | Downloading package opinion_lexicon to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/opinion_lexicon.zip.\n",
            "[nltk_data]    | Downloading package paradigms to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/paradigms.zip.\n",
            "[nltk_data]    | Downloading package pil to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/pil.zip.\n",
            "[nltk_data]    | Downloading package pl196x to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/pl196x.zip.\n",
            "[nltk_data]    | Downloading package ppattach to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/ppattach.zip.\n",
            "[nltk_data]    | Downloading package problem_reports to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/problem_reports.zip.\n",
            "[nltk_data]    | Downloading package propbank to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package ptb to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/ptb.zip.\n",
            "[nltk_data]    | Downloading package product_reviews_1 to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/product_reviews_1.zip.\n",
            "[nltk_data]    | Downloading package product_reviews_2 to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/product_reviews_2.zip.\n",
            "[nltk_data]    | Downloading package pros_cons to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/pros_cons.zip.\n",
            "[nltk_data]    | Downloading package qc to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/qc.zip.\n",
            "[nltk_data]    | Downloading package reuters to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package rte to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/rte.zip.\n",
            "[nltk_data]    | Downloading package semcor to /root/nltk_data...\n",
            "[nltk_data]    | Downloading package senseval to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/senseval.zip.\n",
            "[nltk_data]    | Downloading package sentiwordnet to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/sentiwordnet.zip.\n",
            "[nltk_data]    | Downloading package sentence_polarity to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/sentence_polarity.zip.\n",
            "[nltk_data]    | Downloading package shakespeare to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/shakespeare.zip.\n",
            "[nltk_data]    | Downloading package sinica_treebank to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/sinica_treebank.zip.\n",
            "[nltk_data]    | Downloading package smultron to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/smultron.zip.\n",
            "[nltk_data]    | Downloading package state_union to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/state_union.zip.\n",
            "[nltk_data]    | Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/stopwords.zip.\n",
            "[nltk_data]    | Downloading package subjectivity to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/subjectivity.zip.\n",
            "[nltk_data]    | Downloading package swadesh to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/swadesh.zip.\n",
            "[nltk_data]    | Downloading package switchboard to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/switchboard.zip.\n",
            "[nltk_data]    | Downloading package timit to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/timit.zip.\n",
            "[nltk_data]    | Downloading package toolbox to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/toolbox.zip.\n",
            "[nltk_data]    | Downloading package treebank to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/treebank.zip.\n",
            "[nltk_data]    | Downloading package twitter_samples to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/twitter_samples.zip.\n",
            "[nltk_data]    | Downloading package udhr to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/udhr.zip.\n",
            "[nltk_data]    | Downloading package udhr2 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/udhr2.zip.\n",
            "[nltk_data]    | Downloading package unicode_samples to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/unicode_samples.zip.\n",
            "[nltk_data]    | Downloading package universal_treebanks_v20 to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    | Downloading package verbnet to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/verbnet.zip.\n",
            "[nltk_data]    | Downloading package verbnet3 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/verbnet3.zip.\n",
            "[nltk_data]    | Downloading package webtext to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/webtext.zip.\n",
            "[nltk_data]    | Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/wordnet.zip.\n",
            "[nltk_data]    | Downloading package wordnet_ic to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/wordnet_ic.zip.\n",
            "[nltk_data]    | Downloading package words to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/words.zip.\n",
            "[nltk_data]    | Downloading package ycoe to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/ycoe.zip.\n",
            "[nltk_data]    | Downloading package rslp to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping stemmers/rslp.zip.\n",
            "[nltk_data]    | Downloading package maxent_treebank_pos_tagger to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping taggers/maxent_treebank_pos_tagger.zip.\n",
            "[nltk_data]    | Downloading package universal_tagset to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping taggers/universal_tagset.zip.\n",
            "[nltk_data]    | Downloading package maxent_ne_chunker to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping chunkers/maxent_ne_chunker.zip.\n",
            "[nltk_data]    | Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping tokenizers/punkt.zip.\n",
            "[nltk_data]    | Downloading package book_grammars to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping grammars/book_grammars.zip.\n",
            "[nltk_data]    | Downloading package sample_grammars to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping grammars/sample_grammars.zip.\n",
            "[nltk_data]    | Downloading package spanish_grammars to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping grammars/spanish_grammars.zip.\n",
            "[nltk_data]    | Downloading package basque_grammars to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping grammars/basque_grammars.zip.\n",
            "[nltk_data]    | Downloading package large_grammars to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping grammars/large_grammars.zip.\n",
            "[nltk_data]    | Downloading package tagsets to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping help/tagsets.zip.\n",
            "[nltk_data]    | Downloading package snowball_data to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    | Downloading package bllip_wsj_no_aux to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping models/bllip_wsj_no_aux.zip.\n",
            "[nltk_data]    | Downloading package word2vec_sample to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping models/word2vec_sample.zip.\n",
            "[nltk_data]    | Downloading package panlex_swadesh to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    | Downloading package mte_teip5 to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/mte_teip5.zip.\n",
            "[nltk_data]    | Downloading package averaged_perceptron_tagger to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping taggers/averaged_perceptron_tagger.zip.\n",
            "[nltk_data]    | Downloading package averaged_perceptron_tagger_ru to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping\n",
            "[nltk_data]    |       taggers/averaged_perceptron_tagger_ru.zip.\n",
            "[nltk_data]    | Downloading package perluniprops to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping misc/perluniprops.zip.\n",
            "[nltk_data]    | Downloading package nonbreaking_prefixes to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping corpora/nonbreaking_prefixes.zip.\n",
            "[nltk_data]    | Downloading package vader_lexicon to\n",
            "[nltk_data]    |     /root/nltk_data...\n",
            "[nltk_data]    | Downloading package porter_test to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping stemmers/porter_test.zip.\n",
            "[nltk_data]    | Downloading package wmt15_eval to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping models/wmt15_eval.zip.\n",
            "[nltk_data]    | Downloading package mwa_ppdb to /root/nltk_data...\n",
            "[nltk_data]    |   Unzipping misc/mwa_ppdb.zip.\n",
            "[nltk_data]    | \n",
            "[nltk_data]  Done downloading collection all\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X4OEdBSQ5kX0",
        "outputId": "d71c5eb8-e310-4d30-9804-e4ce3222fd14",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "from nltk.sentiment import vader\n",
        "from nltk.sentiment.util import *\n",
        "from nltk import tokenize"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/nltk/twitter/__init__.py:20: UserWarning: The twython library has not been installed. Some functionality from the twitter package will not be available.\n",
            "  warnings.warn(\"The twython library has not been installed. \"\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ozlj5NUhTCe-",
        "outputId": "0fe887fa-011b-47ff-d82a-05074acf2280",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        }
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "from subprocess import check_output\n",
        "from bs4 import BeautifulSoup\n",
        "import re\n",
        "import plotly.offline as py\n",
        "py.init_notebook_mode(connected=True)\n",
        "import plotly.graph_objs as go\n",
        "import plotly.tools as tls\n",
        "from nltk.corpus import stopwords"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "        <script type=\"text/javascript\">\n",
              "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
              "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
              "        if (typeof require !== 'undefined') {\n",
              "        require.undef(\"plotly\");\n",
              "        requirejs.config({\n",
              "            paths: {\n",
              "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
              "            }\n",
              "        });\n",
              "        require(['plotly'], function(Plotly) {\n",
              "            window._Plotly = Plotly;\n",
              "        });\n",
              "        }\n",
              "        </script>\n",
              "        "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JZBDo4oVSrbx",
        "outputId": "396836f3-7c5a-4586-cc16-f31915574908",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 434
        }
      },
      "source": [
        "tweets=pd.read_csv('/content/demonetization-tweets1.csv',encoding='ISO-8859-1')\n",
        "tweets.head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>ï»¿</th>\n",
              "      <th>text</th>\n",
              "      <th>favorited</th>\n",
              "      <th>favoriteCount</th>\n",
              "      <th>replyToSN</th>\n",
              "      <th>created</th>\n",
              "      <th>truncated</th>\n",
              "      <th>replyToSID</th>\n",
              "      <th>id</th>\n",
              "      <th>replyToUID</th>\n",
              "      <th>statusSource</th>\n",
              "      <th>screenName</th>\n",
              "      <th>retweetCount</th>\n",
              "      <th>isRetweet</th>\n",
              "      <th>retweeted</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>RT @rssurjewala: Critical question: Was PayTM ...</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23-11-2016 18:40</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.014960e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>&lt;a href=\"http://twitter.com/download/android\" ...</td>\n",
              "      <td>HASHTAGFARZIWAL</td>\n",
              "      <td>331</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>RT @Hemant_80: Did you vote on #Demonetization...</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23-11-2016 18:40</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.014960e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>&lt;a href=\"http://twitter.com/download/android\" ...</td>\n",
              "      <td>PRAMODKAUSHIK9</td>\n",
              "      <td>66</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>RT @roshankar: Former FinSec, RBI Dy Governor,...</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23-11-2016 18:40</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.014960e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>&lt;a href=\"http://twitter.com/download/android\" ...</td>\n",
              "      <td>rahulja13034944</td>\n",
              "      <td>12</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>RT @ANI_news: Gurugram (Haryana): Post office ...</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23-11-2016 18:39</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.014960e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>&lt;a href=\"http://twitter.com/download/android\" ...</td>\n",
              "      <td>deeptiyvd</td>\n",
              "      <td>338</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>RT @satishacharya: Reddy Wedding! @mail_today ...</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23-11-2016 18:39</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.014950e+17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>&lt;a href=\"http://cpimharyana.com\" rel=\"nofollow...</td>\n",
              "      <td>CPIMBadli</td>\n",
              "      <td>120</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   ï»¿                                               text  ...  isRetweet  retweeted\n",
              "0    1  RT @rssurjewala: Critical question: Was PayTM ...  ...       True      False\n",
              "1    2  RT @Hemant_80: Did you vote on #Demonetization...  ...       True      False\n",
              "2    3  RT @roshankar: Former FinSec, RBI Dy Governor,...  ...       True      False\n",
              "3    4  RT @ANI_news: Gurugram (Haryana): Post office ...  ...       True      False\n",
              "4    5  RT @satishacharya: Reddy Wedding! @mail_today ...  ...       True      False\n",
              "\n",
              "[5 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RwPt2kC4TQez",
        "outputId": "1fd57f1f-0ba2-4b23-a53c-78eb0694587c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "tweets.shape"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(8000, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AHq3JnEVTTyx"
      },
      "source": [
        "def clean(text):\n",
        "    #Remove Html from the text \n",
        "    text = BeautifulSoup(text).get_text()\n",
        "    \n",
        "    #Remove Non-Letters\n",
        "    text = re.sub('[^a-zA-Z]',' ',text)\n",
        "    \n",
        "    #Convert to lower_case and split\n",
        "    text = text.lower().split()\n",
        "    \n",
        "    #Remove stopwords\n",
        "    stopwords_set = set(stopwords.words('english'))\n",
        "    words = [w for w in text if not w in stopwords_set]\n",
        "    \n",
        "    #join the words back into one string\n",
        "    return(' '.join(words))"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Rpit_yxXTZSI"
      },
      "source": [
        "tweets['text'] = tweets['text'].apply(lambda x:clean(x))"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ktu_FCfO6gYU",
        "outputId": "89fd4128-499a-41a3-c860-d3fa7ad12f5e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 218
        }
      },
      "source": [
        "tweets['text']"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       rt rssurjewala critical question paytm informe...\n",
              "1           rt hemant vote demonetization modi survey app\n",
              "2       rt roshankar former finsec rbi dy governor cbd...\n",
              "3       rt ani news gurugram haryana post office emplo...\n",
              "4       rt satishacharya reddy wedding mail today cart...\n",
              "                              ...                        \n",
              "7995    fyi must tell clear doubts enhance general kno...\n",
              "7996    rt sukanyaiyer demonetization aap protests mar...\n",
              "7997    demonetization help combat terror pak able pri...\n",
              "7998    demonetization positive effect cigarette sales...\n",
              "7999    rt unsubtledesi kejriwal posts pic dead robber...\n",
              "Name: text, Length: 8000, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tvdNWuk2TcQV"
      },
      "source": [
        "sid = vader.SentimentIntensityAnalyzer()"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rDRnpyuHUmjc"
      },
      "source": [
        "tweets['sentiment_compound_polarity'] = tweets.text.apply(lambda x:sid.polarity_scores(x)['compound'])\n",
        "\n",
        "tweets['sentiment_negative'] = tweets.text.apply(lambda x:sid.polarity_scores(x)['neg'])\n",
        "tweets['sentiment_pos'] = tweets.text.apply(lambda x:sid.polarity_scores(x)['pos'])\n",
        "tweets['sentiment'] = ''\n",
        "\n",
        "tweets.loc[tweets.sentiment_compound_polarity>=0,'sentiment'] = 1\n",
        "tweets.loc[tweets.sentiment_compound_polarity<0,'sentiment'] = 0"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0h5w3SUFUt0d"
      },
      "source": [
        "val = tweets['sentiment'].value_counts().reset_index()\n",
        "val.columns = ['Sentiment','Count']"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "StK5VMAS-QIw",
        "outputId": "781ddd3c-02f2-4c0c-ce2c-81a3e0f51b42",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 106
        }
      },
      "source": [
        "val.head()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Sentiment</th>\n",
              "      <th>Count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>5672</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>2328</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Sentiment  Count\n",
              "0          1   5672\n",
              "1          0   2328"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    }
  ]
}