analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Description: This is a sentimental analysis program that parses the tweets fetched from twitter using python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import the libraries\n",
    "import tweepy\n",
    "from textblob import TextBlob\n",
    "from wordcloud import WordCloud\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import re\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use(\"fivethirtyeight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Load the api_keys\n",
    "keys = pd.read_csv(\"keys.csv\") #import your own keys and assign them below, make sure that they are not publicly visible. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Assign keys\n",
    "consumerKey = keys.iloc[0, 0]\n",
    "consumerSecret = keys.iloc[0, 1]\n",
    "accessToken = keys.iloc[0, 2]\n",
    "accessTokenSecret = keys.iloc[0, 3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create the authentication object\n",
    "authenticate = tweepy.OAuthHandler(consumerKey, consumerSecret)\n",
    "\n",
    "#access token and access token secret\n",
    "authenticate.set_access_token(accessToken, accessTokenSecret)\n",
    "\n",
    "#create the api object while passing in the auth information\n",
    "api = tweepy.API(authenticate, wait_on_rate_limit = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Show the 5 recent tweets: \n",
      "\n",
      "1)RT @GlobalFund: Speaking from villages, riverbanks and rural clinics, frontline health workers and malaria volunteers share stories of what…\n",
      "\n",
      "2)Virologist Ruth Bishop pioneered the research that led to the discovery of rotavirus. Her legacy continues both as a role model for other researchers and in the millions of children’s lives that have been saved because of her heroic work: https://t.co/qjroJpzqTc #IWD2021 https://t.co/rEtrmXwFxJ\n",
      "\n",
      "3)RT @AnitaZaidi: On International Women’s Day, join me in celebrating some of the inspiring women who made #COVID19 vaccines possible. Know…\n",
      "\n",
      "4)Thank you @BarackObama for the kind words. Your leadership at the 2015 Paris climate conference helped prove that global cooperation on climate is possible and gives me hope that we can reach our goal of zero emissions. https://t.co/990iHWgQqx\n",
      "\n",
      "5)@EDFaction @Breakthrough Thank you for your partnership, @EDFAction, and for sharing what all of us can do to avoid a climate disaster.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Extract 100 tweets from a twitter user\n",
    "posts = api.user_timeline(screen_name = \"BillGates\", count = 100, lang = \"en\", tweet_mode = \"extended\")\n",
    "\n",
    "#Print the last 5 tweets from the account\n",
    "print(\"Show the 5 recent tweets: \\n\")\n",
    "\n",
    "i = 1\n",
    "for tweet in posts[0:5]:\n",
    "    print(str(i) + \")\" + tweet.full_text + \"\\n\")\n",
    "    i = i + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RT @GlobalFund: Speaking from villages, riverb...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Virologist Ruth Bishop pioneered the research ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RT @AnitaZaidi: On International Women’s Day, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thank you @BarackObama for the kind words. You...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>@EDFaction @Breakthrough Thank you for your pa...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Tweets\n",
       "0  RT @GlobalFund: Speaking from villages, riverb...\n",
       "1  Virologist Ruth Bishop pioneered the research ...\n",
       "2  RT @AnitaZaidi: On International Women’s Day, ...\n",
       "3  Thank you @BarackObama for the kind words. You...\n",
       "4  @EDFaction @Breakthrough Thank you for your pa..."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a dataframe with a column called Tweets\n",
    "df = pd.DataFrame([tweet.full_text for tweet in posts], columns = [\"Tweets\"])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>: Speaking from villages, riverbanks and rural...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Virologist Ruth Bishop pioneered the research ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>: On International Women’s Day, join me in cel...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thank you  for the kind words. Your leadership...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Thank you for your partnership, , and for sh...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Each week, we’ll talk about some of the bigges...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>I’m teaming up with Rashida Jones to ask the b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>I look forward to working with the new adminis...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Congratulations to President-Elect Biden and V...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Here in Washington, we always vote by mail. It...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Tweets\n",
       "0   : Speaking from villages, riverbanks and rural...\n",
       "1   Virologist Ruth Bishop pioneered the research ...\n",
       "2   : On International Women’s Day, join me in cel...\n",
       "3   Thank you  for the kind words. Your leadership...\n",
       "4     Thank you for your partnership, , and for sh...\n",
       "..                                                ...\n",
       "95  Each week, we’ll talk about some of the bigges...\n",
       "96  I’m teaming up with Rashida Jones to ask the b...\n",
       "97  I look forward to working with the new adminis...\n",
       "98  Congratulations to President-Elect Biden and V...\n",
       "99  Here in Washington, we always vote by mail. It...\n",
       "\n",
       "[100 rows x 1 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#clean the text\n",
    "\n",
    "#Create a function to clean the tweets\n",
    "def cleantxt(text):\n",
    "    text = re.sub(r\"@[A-Za-z0-9]+\", \"\", text) #Removes @ mentions\n",
    "    text = re.sub(r\"#\", \"\", text) #Removing the # symbol\n",
    "    text = re.sub(r\"RT[\\s]+\", \"\", text) #Removing RT\n",
    "    text = re.sub(r\"https?:\\/\\/\\S+\", \"\", text) #Removing hyperlinks\n",
    "    return text\n",
    "\n",
    "df[\"Tweets\"] = df[\"Tweets\"].apply(cleantxt)\n",
    "    \n",
    "#Show the cleaned text\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweets</th>\n",
       "      <th>Subjectivity</th>\n",
       "      <th>Polarity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>: Speaking from villages, riverbanks and rural...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>Virologist Ruth Bishop pioneered the research ...</td>\n",
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       "      <td>: On International Women’s Day, join me in cel...</td>\n",
       "      <td>0.666667</td>\n",
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       "      <td>Thank you  for the kind words. Your leadership...</td>\n",
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       "      <td>Each week, we’ll talk about some of the bigges...</td>\n",
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       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>I look forward to working with the new adminis...</td>\n",
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       "      <td>0.268182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Congratulations to President-Elect Biden and V...</td>\n",
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       "      <td>0.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>Here in Washington, we always vote by mail. It...</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
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       "<p>100 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Tweets  Subjectivity  Polarity\n",
       "0   : Speaking from villages, riverbanks and rural...      0.000000  0.000000\n",
       "1   Virologist Ruth Bishop pioneered the research ...      0.637500  0.287500\n",
       "2   : On International Women’s Day, join me in cel...      0.666667  0.166667\n",
       "3   Thank you  for the kind words. Your leadership...      0.633333  0.200000\n",
       "4     Thank you for your partnership, , and for sh...      0.000000  0.000000\n",
       "..                                                ...           ...       ...\n",
       "95  Each week, we’ll talk about some of the bigges...      0.571429  0.357143\n",
       "96  I’m teaming up with Rashida Jones to ask the b...      0.199351  0.016234\n",
       "97  I look forward to working with the new adminis...      0.577273  0.268182\n",
       "98  Congratulations to President-Elect Biden and V...      0.750000  0.250000\n",
       "99  Here in Washington, we always vote by mail. It...      0.431250  0.350000\n",
       "\n",
       "[100 rows x 3 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a fuction to get the subjectivity\n",
    "def getSubjectivity(text):\n",
    "    return TextBlob(text).sentiment.subjectivity\n",
    "\n",
    "#Create a fuction to get the subjectivity\n",
    "def getPolarity(text):\n",
    "    return TextBlob(text).sentiment.polarity\n",
    "\n",
    "#Creating columns for subjectivity and polarity\n",
    "df[\"Subjectivity\"] = df[\"Tweets\"].apply(getSubjectivity)\n",
    "df[\"Polarity\"] = df[\"Tweets\"].apply(getPolarity)\n",
    "\n",
    "#Show new columns \n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot the wordcloud\n",
    "allwords = \"\".join([twts for twts in df[\"Tweets\"]])\n",
    "wordCloud = WordCloud(width = 500, height = 300, random_state = 21, max_font_size = 119).generate(allwords)\n",
    "\n",
    "plt.imshow(wordCloud, interpolation = \"bilinear\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>Tweets</th>\n",
       "      <th>Subjectivity</th>\n",
       "      <th>Polarity</th>\n",
       "      <th>Analysis</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>: Speaking from villages, riverbanks and rural...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Virologist Ruth Bishop pioneered the research ...</td>\n",
       "      <td>0.637500</td>\n",
       "      <td>0.287500</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>: On International Women’s Day, join me in cel...</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thank you  for the kind words. Your leadership...</td>\n",
       "      <td>0.633333</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Thank you for your partnership, , and for sh...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Each week, we’ll talk about some of the bigges...</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.357143</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>I’m teaming up with Rashida Jones to ask the b...</td>\n",
       "      <td>0.199351</td>\n",
       "      <td>0.016234</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>I look forward to working with the new adminis...</td>\n",
       "      <td>0.577273</td>\n",
       "      <td>0.268182</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Congratulations to President-Elect Biden and V...</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Here in Washington, we always vote by mail. It...</td>\n",
       "      <td>0.431250</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Tweets  Subjectivity  Polarity  \\\n",
       "0   : Speaking from villages, riverbanks and rural...      0.000000  0.000000   \n",
       "1   Virologist Ruth Bishop pioneered the research ...      0.637500  0.287500   \n",
       "2   : On International Women’s Day, join me in cel...      0.666667  0.166667   \n",
       "3   Thank you  for the kind words. Your leadership...      0.633333  0.200000   \n",
       "4     Thank you for your partnership, , and for sh...      0.000000  0.000000   \n",
       "..                                                ...           ...       ...   \n",
       "95  Each week, we’ll talk about some of the bigges...      0.571429  0.357143   \n",
       "96  I’m teaming up with Rashida Jones to ask the b...      0.199351  0.016234   \n",
       "97  I look forward to working with the new adminis...      0.577273  0.268182   \n",
       "98  Congratulations to President-Elect Biden and V...      0.750000  0.250000   \n",
       "99  Here in Washington, we always vote by mail. It...      0.431250  0.350000   \n",
       "\n",
       "    Analysis  \n",
       "0    Neutral  \n",
       "1   Positive  \n",
       "2   Positive  \n",
       "3   Positive  \n",
       "4    Neutral  \n",
       "..       ...  \n",
       "95  Positive  \n",
       "96  Positive  \n",
       "97  Positive  \n",
       "98  Positive  \n",
       "99  Positive  \n",
       "\n",
       "[100 rows x 4 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a function to compute the negative, neutral and positive analysis\n",
    "def getAnalysis(score):\n",
    "    if score < 0:\n",
    "        return \"Negative\"\n",
    "    if score > 0:\n",
    "        return \"Positive\"\n",
    "    if score == 0:\n",
    "        return \"Neutral\"\n",
    "\n",
    "#Making column for analysis\n",
    "df[\"Analysis\"] = df[\"Polarity\"].apply(getAnalysis)\n",
    "\n",
    "#printing df with new analysis column\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1)Virologist Ruth Bishop pioneered the research that led to the discovery of rotavirus. Her legacy continues both as a role model for other researchers and in the millions of children’s lives that have been saved because of her heroic work:  IWD2021 \n",
      "\n",
      "2): On International Women’s Day, join me in celebrating some of the inspiring women who made COVID19 vaccines possible. Know…\n",
      "\n",
      "3)Thank you  for the kind words. Your leadership at the 2015 Paris climate conference helped prove that global cooperation on climate is possible and gives me hope that we can reach our goal of zero emissions. \n",
      "\n",
      "4)Moving to a green economy is the biggest challenge the world has ever faced. I’m optimistic we can do it, but need to make sure it benefits everyone—including those workers and communities who depend on the fossil fuels that we need to get rid of. \n",
      "\n",
      "5)We can’t avoid a climate disaster without corporate leaders making courageous decisions now. I hope to work with  on building the markets for the clean technologies the world needs. Thank you for the kind words, Herbert. \n",
      "\n",
      "6)Delivering vaccines to those who need them most, no matter where they live or how much money they have, is the only way to end the pandemic and begin the recovery. This is an important milestone. \n",
      "\n",
      "7)_H2020    To get to net zero, we need innovation to replace fossil fuels in everyday products like plastics.  is one of the many companies leading on this important work.\n",
      "\n",
      "8)We're fortunate to have an Energy Secretary who's focused on creating high-quality jobs to build a clean energy economy. I look forward to working with  on clean tech innovation and deployment. \n",
      "\n",
      "9)Thanks  and  for a great conversation about how we can avoid a climate disaster. \n",
      "\n",
      "10)I’m looking forward to joining  to talk about climate change, our foundation’s work in response to the pandemic, and more. \n",
      "\n",
      "11)It’s encouraging to have  John Kerry representing the U.S. to the world. Now that we've rejoined the Paris Climate Agreement, it's going to take ambitious action from U.S. leaders and those around the globe to avoid a climate disaster. \n",
      "\n",
      "12)Thanks  and  for having me on the show to talk about climate change and COVID-19 – two urgent global issues that need global collaboration. \n",
      "\n",
      "13)  I always have fun talking to . Thanks for inviting me to talk about climate change and my new book.\n",
      "\n",
      "14): I’m grateful for new commitments from the EU, Germany, Canada, Japan, and the U.S. to help make safe and effective COVID-…\n",
      "\n",
      "15)I’m inspired by ’s activism and humanitarian work. Thanks to  and  for hosting our discussion about climate change and how everyone can help. \n",
      "\n",
      "16) Thanks  for talking with me about this challenge and why we need to act now.\n",
      "\n",
      "17)Meaningful action from business leaders will require the courage to take risks that many companies aren't used to taking. \n",
      "\n",
      "18)Thanks to , , and everyone who joined our virtual conversation about climate change. Great to have so much support from my hometown for this important work. \n",
      "\n",
      "19)Great to see this important step as the United States resumes our global leadership on climate change. Looking forward to working with  and Congress on a plan to ensure we reach net zero by 2050. \n",
      "\n",
      "20)Thanks to  for hosting the launch of my virtual book tour. It was great to hear so many thoughtful questions about what we can all do to help avoid a climate disaster.\n",
      "\n",
      "21): Bill Gates on Climate Change, Covid and Whether He Has Too Much Influence \n",
      "\n",
      "22)Thanks for inviting me on the podcast, . \n",
      "\n",
      "23)Thank you, _RDG. We have a lot of work ahead of us to reach net-zero emissions by 2050 and avoid a climate disaster. Your leadership of COP26 is critical. Thanks also to ,  and  for hosting the London stop of my virtual book tour! \n",
      "\n",
      "24)It was great to talk with  about my new book and the solutions we need to fight climate change. \n",
      "\n",
      "25)  Thank you  for inviting me to talk about climate change. Solving it won’t be easy, but I believe we can do it.\n",
      "\n",
      "26)Thanks for another great conversation ! \n",
      "\n",
      "27) Thanks for inviting me to be a guest editor. We need every business leader and every industry to play a role in the fight against climate change.\n",
      "\n",
      "28)I had a great time working with  on this special digital issue about climate change. The entire business community has a role to play—and we need to start now. \n",
      "\n",
      "29)How to Avoid a Climate Disaster is available now. I hope you’ll check out the book, but more importantly, I hope you’ll do what you can to help keep the planet livable for generations to come:  \n",
      "\n",
      "30): In a digital cover story, we talked to  about his new book, \"How to Avoid a Climate Disaster.\" \n",
      "\n",
      "31)To avoid a climate disaster, we need to eliminate emissions from the ways we create electricity, grow food, make things, move around, and heat and cool our buildings. It won’t be easy, but I believe we can do it. This book is about what it will take. \n",
      "\n",
      "32)I enjoyed spending time with  recently in Seattle. We talked about why I’m optimistic that the world can get to zero greenhouse gas emissions and avoid a climate disaster:  \n",
      "\n",
      "33)I’m thrilled to join , _RDG, , , , , ,  and Monica Padman, Sal Khan, and Ariel Bissett to discuss how the world can work to avoid a climate disaster:  \n",
      "\n",
      "34)When it comes to preventing pandemics, scientific tools alone aren’t enough. We also need new capabilities, including a global alert system and infectious disease first responders (or what I like to call a pandemic fire squad):  \n",
      "\n",
      "35)This has been a year unlike any other in our lifetimes. In our new Annual Letter, Melinda and I talk about how we can turn the hard-won lessons of the pandemic into a healthier, more equal future for all. \n",
      "\n",
      "36): I believe that women can be the architects of a better world. \n",
      "\n",
      "Their stories have instilled in me both a sense of urgenc…\n",
      "\n",
      "37)One of the benefits of being 65 is that I’m eligible for the COVID-19 vaccine. I got my first dose this week, and I feel great. Thank you to all of the scientists, trial participants, regulators, and frontline healthcare workers who got us to this point. \n",
      "\n",
      "38)It’s great to see President Biden elevate science leadership to a cabinet-level position. Congratulations _lander. \n",
      "\n",
      "39)And while COVID-19 will rightfully continue to dominate the agenda, the United States also has the opportunity to lead the world in avoiding a climate disaster. The President is taking a great first step by rejoining the Paris Climate Accord.\n",
      "\n",
      "40)With Americans across the country working together, more people get a COVID-19 vaccine every day, bringing us closer to a time when life will look much more like normal. Until then, we can slow the spread of the virus and save lives by continuing to distance and wear masks.\n",
      "\n",
      "41)MLKDay has long been a national day of service. As we celebrate the first without Congressman John Lewis, I'm thinking about his powerful call to remain hopeful about the future as we work to make our country—and our world—a better place. \n",
      "\n",
      "42)It’s great to see India’s leadership in scientific innovation and vaccine manufacturing capability as the world works to end the COVID-19 pandemic  \n",
      "\n",
      "43): The best emergency system is a strong primary health system—powered by community and frontline health workers. Now is t…\n",
      "\n",
      "44)What does Rashida Jones have on her shopping list? That’s just one of the many questions that didn’t make it into our podcast. You can listen to some of the big questions we did tackle here:  \n",
      "\n",
      "45)2021 will be better than 2020. Here’s why: \n",
      "\n",
      "46)Standing up for science has never been more important. Congratulations to Dr. Anthony Fauci and Dr. Salim Abdool Karim on receiving this honor. \n",
      "\n",
      "47)I've known and learned from  for more than 40 years. I'm glad to see  team up with  to mentor and support companies working to create more economic empowerment opportunities for people across the world. \n",
      "\n",
      "48)This book has nothing to do with viruses or pandemics. But it is surprisingly relevant for these times.  provides a brilliant and gripping account of another era of widespread anxiety: the years 1940 and 1941. \n",
      "\n",
      "49)Monoclonal antibodies are one of the most promising treatments we have for COVID-19, thanks in large part to R&amp;D by Canadian scientists. Because of their generosity, people all around the world will have access to this potentially lifesaving treatment. \n",
      "\n",
      "50): We’re looking for new ways to advance AlzheimersResearch. If you have an idea for tools, models, or algorithms that will expa…\n",
      "\n",
      "51)Like many people, I’ve tried to deepen my understanding of systemic racism in recent months. If you’re interested in learning more about the lives caught up in our country's justice system, I highly recommend  by Michelle Alexander. \n",
      "\n",
      "52)The season finale of our podcast features two incredible people who are using their positions as artists to change the world for the better. \n",
      "\n",
      "53)Thanks for the great conversation, Carlos. \n",
      "\n",
      "54)Bill Foege and Viktor Zdanov are phenomenal examples of what it means to harness science for global health. A well-deserved honor. \n",
      "\n",
      "55)Here are five books that I’d recommend as we wrap up 2020. I hope you find something that helps you—or the book lover in your life—finish the year on a good note. \n",
      "\n",
      "56)Are we actually making progress on climate change? Can we really prevent a climate disaster? In this week’s podcast, Rashida and I take on perhaps our biggest question yet with Pulitzer Prize-winning author . \n",
      "\n",
      "57)This new quiz from  is a clever way to fight misconceptions and “upgrade your worldview” about the incredible progress the world has made toward the Sustainable Development Goals to end poverty, fight inequality, and stop climate change: \n",
      "\n",
      "58)Rashida Jones and I talked to Yuval Noah Harari about COVID conspiracy theories, the role social media plays in spreading misinformation, and the one lie I choose to believe even though I know it’s not always true:  \n",
      "\n",
      "59)I believe we can avoid a climate disaster—if we deploy the clean-energy tools we have now wisely, and if we make big breakthroughs that touch every aspect of our physical economy. Creating the National Institutes of Energy Innovation would put us on the right path.\n",
      "\n",
      "60)To reduce duplication, focus the government’s efforts, and get the most innovation out of every dollar of funding, we should create a new organization: the National Institutes of Energy Innovation.\n",
      "\n",
      "61)This the most important thing the U.S. can do to lead the world in innovations that will solve climate change. \n",
      "\n",
      "62)I’m inspired by Quarraisha Abdool Karim and . They are two of the most respected HIV/AIDS researchers in the world. And now they are helping guide the COVID-19 response in South Africa and around the globe.  WorldAIDSDay\n",
      "\n",
      "63): My parents taught me to leave the world better than I found it. \n",
      "\n",
      "So many people across the country believe in giving bac…\n",
      "\n",
      "64)I’m a big fan of author _yuval and was excited to talk to him about why humanity is so willing to believe falsehoods and what these lies tell us about ourselves—both as individuals and as a society. \n",
      "\n",
      "65): “I will continue fighting. I will continue supporting other patients. I will never give up.”\n",
      "\n",
      "Meet Aftab, a multi-drug resi…\n",
      "\n",
      "66)Today is the 25th anniversary of my first book, The Road Ahead. I made a lot of predictions about technology in the book, and it was fun to look back and see what I got right (and what I got wrong). \n",
      "\n",
      "67)This week, Rashida and I ask a big question that has never felt more urgent: is inequality inevitable? We spoke with Compton mayor  and  director Raj Chetty about what it’ll take to build a more equal society. \n",
      "\n",
      "68)You can listen to a bonus clip that didn’t make it into our latest episode here:  \n",
      "\n",
      "69): Full interview with : \n",
      "\n",
      "70)In our first podcast episode, Rashida Jones and I talked to Dr. Anthony Fauci about what to expect in the coming months and what the world will look like after COVID-19. \n",
      "\n",
      "71)More than 7 million community health workers serve their neighbors around the world, improving access to primary healthcare for their communities. Now they’re doing heroic work to respond to the pandemic. \n",
      "\n",
      "72): No one is safe from COVID-19 until everyone is safe. We started the foundation because we believe every person deserves t…\n",
      "\n",
      "73)Each week, we’ll talk about some of the biggest issues facing our world with special guests including authors, experts, and friends. \n",
      "\n",
      "74)I’m teaming up with Rashida Jones to ask the big questions. Check out our new podcast limited series starting Monday. You can subscribe here:  \n",
      "\n",
      "75)I look forward to working with the new administration and leaders on both sides in Congress on getting the surging pandemic under control, engaging partners around the world on issues like poverty and climate change, and addressing issues of inequality and opportunity at home.\n",
      "\n",
      "76)Congratulations to President-Elect Biden and Vice President-Elect Harris. Thank you to the election officials and campaign workers who worked tirelessly to ensure a record number of Americans could cast a ballot and have it counted during such an challenging time for our country.\n",
      "\n",
      "77)Here in Washington, we always vote by mail. It's a safe and secure way to shape the future of our country. But regardless of whether you vote by mail or in person this year, I hope you plan to make your voice heard. Visit  for more information.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Printing all the positive tweets\n",
    "j = 1\n",
    "sortedDF = df.sort_values(by = [\"Polarity\"])\n",
    "for i in range(0, sortedDF.shape[0]):\n",
    "    if sortedDF[\"Analysis\"][i] == \"Positive\":\n",
    "        print(str(j) + \")\" + sortedDF[\"Tweets\"][i])\n",
    "        print()\n",
    "        j = j + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1): Black folks have questions about the COVID-19 vaccine. I sat down w/ Black healthcare workers &amp; they answered my questions.…\n",
      "\n",
      "2)Recent extreme weather events are a stark reminder that we’re already seeing the effects of climate change here at home and around the world. This type of observation system will help scientists monitor and predict future weather events. \n",
      "\n",
      "3)There are several ways individuals can help move us closer to a zero-carbon future. Here are a few:  \n",
      "\n",
      "4): The Weekly Planet: Lately, Bill Gates has been thinking about what he calls the “hard stuff” of climate change. These hard…\n",
      "\n",
      "5): \"People who think a plan is easy are wrong. People who think a plan is impossible are wrong. It's super hard and very broad,…\n",
      "\n",
      "6): Only 3% of Black students learn computer science in high school or beyond. Please watch and share this video. Inspire a studen…\n",
      "\n",
      "7)COVID-19 has cost lives, sickened millions, and thrust the global economy into a devastating recession. But hope is on the horizon:  \n",
      "\n",
      "8)Here are four other ways that America can advance its leadership on climate change this year and put the world on a path to zero emissions by 2050:  \n",
      "\n",
      "9)The President’s commitment to reengage with the world gives me hope that the recovery will reach everyone, including communities of color in the U.S. and people in poor countries around the world.\n",
      "\n",
      "10)We need to revolutionize the world’s physical economy—and that will take, among other things, a dramatic infusion of ingenuity, funding, and focus from the federal government.\n",
      "\n",
      "11)Nearly forty million people have Alzheimer’s or dementia today. We have no way to stop or even slow the disease at this point, but I’m hopeful the new Alzheimer’s Disease Data Initiative () will speed up progress. \n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Printing all the negative tweets\n",
    "j = 1\n",
    "sortedDF = df.sort_values(by = [\"Polarity\"])\n",
    "for i in range(0, sortedDF.shape[0]):\n",
    "    if sortedDF[\"Analysis\"][i] == \"Negative\":\n",
    "        print(str(j) + \")\" + sortedDF[\"Tweets\"][i])\n",
    "        print()\n",
    "        j = j + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot the polarity and subjectivity\n",
    "plt.figure(figsize = (8, 6))\n",
    "for i in range(0, df.shape[0]):\n",
    "    plt.scatter(df[\"Polarity\"][i], df[\"Subjectivity\"][i], color = \"Blue\")\n",
    "    \n",
    "plt.title(\"Sentimental Analysis of Tweets\")\n",
    "plt.xlabel(\"Polarity\")\n",
    "plt.ylabel(\"Subjectivity\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "77.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Get the percentage of positive tweets\n",
    "ptweets = df[df.Analysis == \"Positive\"]\n",
    "ptweets = ptweets[\"Tweets\"]\n",
    "\n",
    "round(ptweets.shape[0] / df.shape[0] * 100, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Get the percentage of negative tweets\n",
    "ntweets = df[df.Analysis == \"Negative\"]\n",
    "ntweets = ntweets[\"Tweets\"]\n",
    "\n",
    "round(ntweets.shape[0] / df.shape[0] * 100, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Show the value counts\n",
    "df[\"Analysis\"].value_counts()\n",
    "\n",
    "plt.title(\"Sentimental Analysis\")\n",
    "plt.xlabel(\"Sentiment\")\n",
    "plt.ylabel(\"Counts\")\n",
    "df[\"Analysis\"].value_counts().plot(kind = \"bar\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}