code

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Credits:- https://betterprogramming.pub/twitter-sentiment-analysis-15d8892c0082"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Twitter Data Sentiment Analysis\n",
    "- 1) Twitter Data:- First step is to configure twitter API and gather twitter data\n",
    "- 2) Clean the data\n",
    "- 3) Sentiment:- To find out sentiments\n",
    "- 4) Analysis:- To do analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install tweepy \n",
    "#!pip install textblob "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tweepy # to gather tweeter data\n",
    "from textblob import TextBlob\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "from wordcloud import WordCloud\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get the Twitter cong and get the tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Twitter Api  Credentials\n",
    "APIkey= \"6e9NdMl4faDsuKZnzMeeUs7Of\"\n",
    "APISecreatKey= \"SeJqKOeSp4tCZGYWqFhPxdlCoV5z3hWp5rGblwEsV5LdlGemxO\"\n",
    "accessToken= \"1434032678970429441-XiwwPoHT4Gj6yZEn2hAJOD1vnfIjEE\"\n",
    "accessTokenSecreat= \"VKfK3kTPSvWYqsWjlmoAfCnvPd7Wi1JV5nqkj4XN6mXul\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create the authentication object\n",
    "authenticate = tweepy.OAuthHandler(APIkey,APISecreatKey)\n",
    "authenticate.set_access_token(accessToken,accessTokenSecreat)\n",
    "api= tweepy.API(authenticate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1) Savor the sweetness of @TrumpStore chocolates all summer long. Shipping of our decadent treats will pause May 1st and resume September 30th. Stock up today! https://t.co/J85ytVtmoR\n",
      "\n",
      "2) RT @TrumpHotels: Spotted: The ever innovative @TrumpChicago's Burst Your Bubble cocktail in @millenniummagazine's Netflix + Chill(ed): 12 C…\n",
      "\n",
      "3) Is @TrumpGolfLA on your bucket list? Take a virtual tour of our oceanfront public course and discover the challenging game and unrivaled scenic beauty that awaits: https://t.co/JNRMzmVc04. https://t.co/hEUhJWbKBX\n",
      "\n",
      "4) Central Park is truly one of the wonders of the world. At our corporate headquarters in Trump Tower, we are delighted to enjoy this spectacular view every day, but especially on #EarthDay. https://t.co/SPnSnjlWol\n",
      "\n",
      "5) Our @TrumpHotels #NeverSettle mantra has translated into nominations for the industry's top accolades! \n",
      "\n",
      "As you reflect on your favorite travel experiences with us, we would be honored to have your vote. Cast your ballot at https://t.co/1GlMY2Z9tK✨ https://t.co/qghPwDfV50\n",
      "\n",
      "6) RT @TrumpHotels: Ballots are open! Several #TrumpHotels have been nominated for the industry's top accolades ✨ As you share your favorite t…\n",
      "\n",
      "7) Exquisite atmosphere, delectable cuisine, and 18 holes of world-class golf. We love escaping to @TrumpFerryPoint for a relaxing afternoon away from New York City. https://t.co/XCveOoi9Pf https://t.co/ioEKQ3An80\n",
      "\n",
      "8) Discover the ultimate golf resort experience at @TrumpDoral, where luxury is woven into every detail. \n",
      "\n",
      "📷: @courtlynnreed https://t.co/3e6di4BjiB\n",
      "\n",
      "9) We are delighted to welcome you back to @trumpturnberry on April 26th! Escape to the Ayrshire Coast this spring and discover the endless experiences that await at this historic destination. For more details, visit https://t.co/CgqEoRLfx9 https://t.co/EjLp7i92BA\n",
      "\n",
      "10) Each Palm Beach sunrise is more captivating than the last, especially when viewed from the extraordinary Beach Club at Mar-A-Lago. https://t.co/RPjnMq5ukG\n",
      "\n"
     ]
    }
   ],
   "source": [
    "posts= api.user_timeline(screen_name='Trump',count=100,lang=\"en\",tweet_mode='extended')\n",
    "i=1\n",
    "for tweet in posts[:10]:  # just want to see the top 10 from 100\n",
    "    print(str(i) + ') ' + tweet.full_text + '\\n')\n",
    "    i= i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>Savor the sweetness of @TrumpStore chocolates ...</td>\n",
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       "      <td>RT @TrumpHotels: Spotted: The ever innovative ...</td>\n",
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       "      <td>Our story began more than four decades ago wit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>RT @TrumpGolf: Happy #NationalBossDay to the l...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>This @TrumpChicago Tower is crafted entirely o...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Tweets\n",
       "0   Savor the sweetness of @TrumpStore chocolates ...\n",
       "1   RT @TrumpHotels: Spotted: The ever innovative ...\n",
       "2   Is @TrumpGolfLA on your bucket list? Take a vi...\n",
       "3   Central Park is truly one of the wonders of th...\n",
       "4   Our @TrumpHotels #NeverSettle mantra has trans...\n",
       "..                                                ...\n",
       "95  Revel in this majestic scene of the iconic @Tr...\n",
       "96  Step away from the bustling city streets and i...\n",
       "97  Our story began more than four decades ago wit...\n",
       "98  RT @TrumpGolf: Happy #NationalBossDay to the l...\n",
       "99  This @TrumpChicago Tower is crafted entirely o...\n",
       "\n",
       "[100 rows x 1 columns]"
      ]
     },
     "execution_count": 29,
     "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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make a function to clean tweets\n",
    "def cleanTxt(text):\n",
    "    text= re.sub('@[A-Za-z0-9]+','',text ) #removing mentions\n",
    "    text= re.sub(\"#\",'',text) #removing #\n",
    "    text= re.sub('RT[\\s]+','',text) # removing Retweets\n",
    "    text= re.sub('https?:\\/\\/\\S+','',text) #removing links\n",
    "    return text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Tweets']= df['Tweets'].apply(cleanTxt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Tweets</th>\n",
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       "  </thead>\n",
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       "      <td>Savor the sweetness of  chocolates all summer ...</td>\n",
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       "      <td>: Spotted: The ever innovative 's Burst Your B...</td>\n",
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       "      <td>Our  NeverSettle mantra has translated into no...</td>\n",
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      "text/plain": [
       "                                               Tweets\n",
       "0   Savor the sweetness of  chocolates all summer ...\n",
       "1   : Spotted: The ever innovative 's Burst Your B...\n",
       "2   Is  on your bucket list? Take a virtual tour o...\n",
       "3   Central Park is truly one of the wonders of th...\n",
       "4   Our  NeverSettle mantra has translated into no...\n",
       "..                                                ...\n",
       "95  Revel in this majestic scene of the iconic  Li...\n",
       "96  Step away from the bustling city streets and i...\n",
       "97  Our story began more than four decades ago wit...\n",
       "98  : Happy NationalBossDay to the leaders of our ...\n",
       "99  This  Tower is crafted entirely of chocolate, ...\n",
       "\n",
       "[100 rows x 1 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lets find out the sentiments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "analysis=TextBlob(\"Today was the best day \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sentiment(polarity=1.0, subjectivity=0.3)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis.sentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a function to get the subjectivity of all the tweets\n",
    "def getSubjectivity(text):\n",
    "    return TextBlob(text).sentiment.subjectivity\n",
    "\n",
    "# create a function to get the Polarity of all the tweets\n",
    "def getPolarity(text):\n",
    "    return TextBlob(text).sentiment.polarity\n",
    "\n",
    "# create 2 columns 'Subjectivity' and 'Polarity'\n",
    "df['Subjectivity']= df['Tweets'].apply(getSubjectivity)\n",
    "df['Polarity']= df['Tweets'].apply(getPolarity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.750000</td>\n",
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       "      <th>98</th>\n",
       "      <td>: Happy NationalBossDay to the leaders of our ...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <th>99</th>\n",
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       "                                               Tweets  Subjectivity  Polarity\n",
       "0   Savor the sweetness of  chocolates all summer ...      0.400000 -0.062500\n",
       "1   : Spotted: The ever innovative 's Burst Your B...      1.000000  0.500000\n",
       "2   Is  on your bucket list? Take a virtual tour o...      0.488889  0.033333\n",
       "3   Central Park is truly one of the wonders of th...      0.558333  0.283333\n",
       "4   Our  NeverSettle mantra has translated into no...      0.750000  0.562500\n",
       "..                                                ...           ...       ...\n",
       "95  Revel in this majestic scene of the iconic  Li...      0.716667  0.450000\n",
       "96  Step away from the bustling city streets and i...      0.000000  0.000000\n",
       "97  Our story began more than four decades ago wit...      0.750000  0.750000\n",
       "98  : Happy NationalBossDay to the leaders of our ...      1.000000  1.000000\n",
       "99  This  Tower is crafted entirely of chocolate, ...      0.625000  0.000000\n",
       "\n",
       "[100 rows x 3 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lets do Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Word Cloud Visualization\n",
    "allwords= ' '.join([i for i in df['Tweets']])\n",
    "Cloud= WordCloud(width=500,height=300,random_state=0,max_font_size=100).generate(allwords)\n",
    "\n",
    "plt.imshow(Cloud)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "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>Savor the sweetness of  chocolates all summer ...</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>-0.062500</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>: Spotted: The ever innovative 's Burst Your B...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Is  on your bucket list? Take a virtual tour o...</td>\n",
       "      <td>0.488889</td>\n",
       "      <td>0.033333</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Central Park is truly one of the wonders of th...</td>\n",
       "      <td>0.558333</td>\n",
       "      <td>0.283333</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Our  NeverSettle mantra has translated into no...</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.562500</td>\n",
       "      <td>Positive</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>Revel in this majestic scene of the iconic  Li...</td>\n",
       "      <td>0.716667</td>\n",
       "      <td>0.450000</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Step away from the bustling city streets and i...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Our story began more than four decades ago wit...</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>: Happy NationalBossDay to the leaders of our ...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>This  Tower is crafted entirely of chocolate, ...</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Tweets  Subjectivity  Polarity  \\\n",
       "0   Savor the sweetness of  chocolates all summer ...      0.400000 -0.062500   \n",
       "1   : Spotted: The ever innovative 's Burst Your B...      1.000000  0.500000   \n",
       "2   Is  on your bucket list? Take a virtual tour o...      0.488889  0.033333   \n",
       "3   Central Park is truly one of the wonders of th...      0.558333  0.283333   \n",
       "4   Our  NeverSettle mantra has translated into no...      0.750000  0.562500   \n",
       "..                                                ...           ...       ...   \n",
       "95  Revel in this majestic scene of the iconic  Li...      0.716667  0.450000   \n",
       "96  Step away from the bustling city streets and i...      0.000000  0.000000   \n",
       "97  Our story began more than four decades ago wit...      0.750000  0.750000   \n",
       "98  : Happy NationalBossDay to the leaders of our ...      1.000000  1.000000   \n",
       "99  This  Tower is crafted entirely of chocolate, ...      0.625000  0.000000   \n",
       "\n",
       "    Analysis  \n",
       "0   Negative  \n",
       "1   Positive  \n",
       "2   Positive  \n",
       "3   Positive  \n",
       "4   Positive  \n",
       "..       ...  \n",
       "95  Positive  \n",
       "96   Neutral  \n",
       "97  Positive  \n",
       "98  Positive  \n",
       "99   Neutral  \n",
       "\n",
       "[100 rows x 4 columns]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a function to compute negative neutral and positive\n",
    "\n",
    "def getAnalysis(score):\n",
    "    if score<0:\n",
    "        return 'Negative'\n",
    "    elif score==0:\n",
    "        return 'Neutral'\n",
    "    else:\n",
    "        return 'Positive'\n",
    "\n",
    "df['Analysis']= df['Polarity'].apply(getAnalysis)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "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>7</th>\n",
       "      <td>Discover the ultimate golf resort experience a...</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>We’re spending NationalBeerDay with a decadent...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>: Spring Toward Travel with ! Featuring a spri...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>If we could be anywhere in the world this StPa...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>: Weekends were made for our signature Martini...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>: Friday plans? You'll find us lounging at the...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Our signature Trump clock stands out in every ...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>: From championship golf to world-class scotch...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Host in elegance and style this holiday season...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Step away from the bustling city streets and i...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>This  Tower is crafted entirely of chocolate, ...</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Tweets  Subjectivity  Polarity  \\\n",
       "7   Discover the ultimate golf resort experience a...         1.000       0.0   \n",
       "10  We’re spending NationalBeerDay with a decadent...         0.000       0.0   \n",
       "11  : Spring Toward Travel with ! Featuring a spri...         0.000       0.0   \n",
       "19  If we could be anywhere in the world this StPa...         0.000       0.0   \n",
       "29  : Weekends were made for our signature Martini...         0.000       0.0   \n",
       "30  : Friday plans? You'll find us lounging at the...         0.000       0.0   \n",
       "32  Our signature Trump clock stands out in every ...         0.000       0.0   \n",
       "33  : From championship golf to world-class scotch...         0.000       0.0   \n",
       "80  Host in elegance and style this holiday season...         0.000       0.0   \n",
       "96  Step away from the bustling city streets and i...         0.000       0.0   \n",
       "99  This  Tower is crafted entirely of chocolate, ...         0.625       0.0   \n",
       "\n",
       "   Analysis  \n",
       "7   Neutral  \n",
       "10  Neutral  \n",
       "11  Neutral  \n",
       "19  Neutral  \n",
       "29  Neutral  \n",
       "30  Neutral  \n",
       "32  Neutral  \n",
       "33  Neutral  \n",
       "80  Neutral  \n",
       "96  Neutral  \n",
       "99  Neutral  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Analysis']=='Neutral']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Positive    87\n",
       "Neutral     11\n",
       "Negative     2\n",
       "Name: Analysis, dtype: int64"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Analysis'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 4)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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nD/7880/4+/tj7ty5alt8EJFhmAgRERGRaHGMEBEREYkWEyEiIiISLSZCdqikpEToEATDuouPWOsNsO5iJNZ6WxITISIiIhItJkJEREQkWkyEiIiISLSYCBEREZFoMREiIiIi0WIiRERERKLFRIiIiIhEi4kQERERiRYTISIiIhItJkJEREQkWoImQgUFBZg4cSKCgoLg5uaGLVu2NHnOiRMnMGLECHh7eyMoKAhLly6FXC5vhmiJyJqUlkqQkOCCpKRAJCS4oLRUInRI1AwKChwQHNwaQ4eGIDi4NQoKdP8ZU3xORo1qZdOfE0PrbU8sXVdHi169CTdv3sRDDz2ESZMmISkpqcnjr1+/jrFjx2LQoEH48ccfUVJSguTkZLi6uuLFF19shoiJyBqUlkowZkwrnD0rBeCEw4eB4mIptm+/CT8//sPIXhUUOCAmpjXq6u4lM9XVQExMa+TmVmPw4Aa141U/J/fY4ufE0HrbE0XdL1++brF7CJpSPvHEE3jzzTcRExMDB4emQ8nOzsbt27exevVqPPTQQ4iJicHLL7+MVatWsVWISETS0pxV/rgBwNmzUqSlOQsUETWHWbNclcmAQl2dBLNmuWo83l4+J4bW255oqru5CdoiZKiDBw9i4MCBcHFxUZZFR0dj0aJFKC0tRZcuXTSeJ8bdesVYZwXW3f6dORMIwElDeY1o3gMFMdX3ypUQLeVyje+DvXxODK23PdFWd3OyqUTo0qVL6NChg0qZh4eH8jVtiVBAQIClQ7MqJSUloquzAusujrp37eqMw4c1l4vlPQDE9cwB4MEHJaiu1lyu6X2wl8+JofW2J9rqbk42N9pKIlFtIlN0id1fTkT2KzW1Bv7+9Spl/v71SE2tESgiag6rV9+Co6PqMAhHRzlWr76l8Xh7+ZwYWm97oqnu5mZTiZCnpycuXbqkUnb58mUA/9cyRET2z89Pju3bbyI2thahodcRG1trcwNgyXCDBzcgN7cavr71aN26Dr6+9ToHDDf+nISH19ns58TQetsTRd0tyaa6xsLCwvDWW2+hpqYGzs73BrvJZDL4+PjAz89P4OiIqDn5+cmRnn5bdN1DYjd4cAOOHavW+7krPie2ztB62xNLJ3yCtghVV1fj2LFjOHbsGBoaGnD+/HkcO3YMZWVlAIC3334bo0ePVh4/fvx4uLi44G9/+xt+/fVX7NixAx999BH+9re/sWuMiIiIDCZoInTkyBFEREQgIiICt2/fxuLFixEREYF33nkHAFBeXo6zZ88qj2/bti22bduGixcvYujQoZgzZw6Sk5Mxe/ZsoapARERENkzQrrHw8HBUVVVpfX316tVqZb169cLXX39tybCIiIhIJGxqsDQRERGROTERIiIiItFiIkRERESixUSIiIiIRIuJEBEREYkWEyEiIiISLSZCREREJFpMhIiIiEi0mAgRERGRaDERIiIiItFiIkRERESixUSIiIiIRIuJEBEREYkWEyEiIiISLSZCREREJFpMhIiIiEi0mAgRERGRaDERIiIiItFiIkRERESixUSIiIiIRIuJEBEREYkWEyEiIiKyWqWlEoten4kQERERWaXSUgnGjGll0XswESIiIiKrlJbmjLNnpRa9BxMhIiIiskoXL1o+TWEiRERERFbJx6fB4vdgIkRERERWKTW1Bv7+9Ra9BxMhIiIiskp+fnJs337TovdgIkRERERWy89PbtHrMxEiImpmpaUSJCS4YNSoVkhIcLH4OilEpJ2j0AEQEYmJYl2UxlOCi4ul2L79psX/5UtE6tgiRETUjDSti3L2rBRpac4CRUQkbkyEiIiakbZ1UcrL+euYSAj85hERNSNt66J4e1t+vRQiUsdEiIioGWlaF8Xfvx6pqTUCRUQkbhwsTUTUjBTroqSlOaO83AHe3g1ITa3hQGkigTARIiJqZn5+cqSn3xY6DCICu8aIiIhIxJgIERERkWgxESIiIiLRYiJEREREosVEiIiIiESLiRAREdkMxYa1SUmBot6wlhv3mg+nzxMRkU1Q3bDWCYcPi3PDWm7ca15sESIiIpvADWvv4ftgXkyEiIjIJnDD2nv4PpgX3zUiIrIJ3LD2Hr4P5sVEiIiIbAI3rL2H74N5cbA0ERHZhMYb1p45U4OuXZ1FuWEtN+41LyZCRERkMxQb1paUlCAgIEDocATDjXvNh11jREREJFpMhIiIiEi0BE+EMjIyEBwcDC8vL0RGRmL//v06j8/OzsZjjz0GHx8fBAYGYubMmaioqGimaImIiMieCJoI5eTkICUlBa+99hry8/MRFhaG2NhYlJWVaTz+wIEDSExMxKRJk1BYWIgtW7bg5MmTSEhIaObIiYiImsatMKyfoInQypUrMXnyZLzwwgvo0aMHli1bBi8vL2RmZmo8/tChQ+jQoQOSk5PRpUsX9O/fHzNnzsThw4ebOXIiIhKCLe01ptgKIzvbCfv2OSI72wljxrSy6pjFSLBEqLa2FkePHkVUVJRKeVRUFIqKijSeM2DAAFRUVODrr7+GXC5HZWUlcnJyMGzYsOYImYiIBNQ4sTh8uI3VJxbcCsM2CDZ9vrKyEvX19fDw8FAp9/DwwKVLlzSeExYWhoyMDMycORO3b99GXV0dhg4ditWrV+u8V0lJidnithVirLMC6y4+Yq03IK66//Of/hoTi3nz7mLhwrMCRaXdmTOBAJw0lNeY9NzE9MwVLLlUguDrCEkkqpm8XC5XK1M4efIkUlJSMGfOHERFRaGiogL//Oc/8fe//x1r167Veg+xrTUh5vU1WHfx1V2s9QbEV/fq6lYay2/ebGuV70PXrs7QNHKja1dno+MV2zNvDoIlQu7u7pBKpWqtP5cvX1ZrJVL44IMP0LdvX7z00ksAgN69e8PV1RXDhw/HP//5T3Tq1MnicRMRkTBsbY+tqVPvYNu2Fqir+79/3Ds6yjF16h0Bo6L7CTZGyMnJCSEhIZDJZCrlMpkMAwYM0HjO7du3IZWqNosqfpbLubQ4EZE9s7U9tjZsaKmSBAFAXZ0EGza0FCgi0kTQWWPJycnYunUrNm3ahFOnTmHevHkoLy/HtGnTAACJiYlITExUHv/UU09h165dWLduHf744w8cOHAA8+bNw8MPP4zOnTsLVQ0iImoGij22YmNrERp6HbGxtdi+/abV7rF18aLmP7Hl5YIv4UeNCDpGaNy4cbhy5QqWLVuGiooKBAUFISsrC76+vgCA8+fPqxz/7LPPorq6Gunp6UhNTUWbNm0QHh6Ot99+W4jwiYiomdnSXmO21pUnVoIPlo6Pj0d8fLzG13bu3KlWdn8rERERkTVKTa1BcbFUZaabNXfliZXgiRAREZEtKi2VIC3NGRcvOsDHpwGpqTUq3XSKrry0NGeUlzvA21v9GBIeEyEiIhFo6o82GUaxuGPj1p7iYqnamCVFVx5ZLyZCRER2Tt8/2qQ/XatGM/GxLRy6TkRk57jVg/lxRpj94BMjIrJz/KNtfpwRZj/4LSAisnP8o21+tra4I2nHRIiISEClpRIkJLhg1KhWSEhw0WsndcU5SUmBep1jzj/axsRrzvNNYc57N17cMTy8zuKLOxr6zEl/HCxNRCQQYwYxq57jhMOHmz7HXNO4TR10LeSgbUvcu7lmhBnzzEl/bBEiIhKIMYOYjR34rPijnZd3E+npt436A2rqoGshB23b8oBxW47dFjARIiISiDGDmIUc+GzqvW05diFZOnYhuyutAbvGiIgEYswgZiEHPpt6b1uOXUiWjJ1rTLFFiIhIMMYMYhZytpKp97bl2IVkydjZ7QZIU1JS3hI6CDKvK1euwN3dXegwBMG6i6/utlxvNzdg+PC7qKyUwN1djgED6rBqle7xO43PcXG5iccekzR5jpDxmvP8xgx97ua8d3Oz5DP/9NOWOHdOvU3E3V2OyZPvmnx9W8CuMSIiARkz80hxTklJCQICAiwUme57C3W+KWx53y9LPXNb7jI0F3aNERERiZQtdxmaC1uEiIiIRMpca0zZMiZCREQkiNJSCdLSnHHxogN8fMT3B9ha2HKXoTkwESIisnG2mFBw2jZZCyZCREQ2zFYTCl3TtsXcOkHNj4OliYhsmK2uA2PLKz2TfeEnjojIhtlqQsFp22QtrPubQkREOtlqQsFp22QtmAgRkWjY4+aStppQKKZtx8bWIjy8DrGxtVY/ronsEwdLE5Eo2Oqg4qbY8jowYp+2TdaBiRARiYI9z1JiQkFkPHaNEZEo2OqgYjKOPXaDkmWwRYiIRMFWBxWT4UztBrXFBSrJePynEBGJgq0OKrYGtta6oq0bdP78ptdWUiRR2dlO2LfPEdnZThgzppXV15mMxxYhIhIFWx5ULCRbHGSurRv0xx9boLRU9zO357FkpBkTISISDQ4qNpwtJgbaukFraiRNxs2xZOLDJ0tERFrZYmKQmloDZ2fNrT5Nxc2xZOJjvZ9kIiISnC0mBn5+cgwdelfja03FzbFk4sOuMSIiEdB3JtT9x02degfFxVKV7jF9E4PmnH11/71mz76DkycNj9scY8k468y2MBEiIrJz+g541nbcihW3sGFDS4MSg+YcZG3OuAHTxpLZ4uBysWMiRERk5/Qd8KztuA0bWuqVGDRuCTl3ToJz55pnkLWpcTdHLNY8uFzsmAgREdk5fQc8mzIwWlNLiLHXMpQ1Dei2plhIP3wyRER2Tt8Bz6YMjNbUEmLstQxlTQO6rSkW0g8TISIiO6fvTChTZkxpawkx5lqGsqaZXtYUC+mHXWNERHZO35lQpsyY0tYS4utbDz8/uUVX8ramVcOtKZbGOJNNOyZCREQioO9MKGNnTKWm1micZt9cs6WsadVwa4oF4Ey2prBrjIiITObnJ8eKFbfg61uPtm0b4OtbjxUrbvEPrRXQNZONmAgREZEZlJZKMHu2K86dk+LaNQecOyfF7Nmu3LXdCnAmm258F4iIyGRsdbBenMmmm0GJ0MmTJy0VBxER2TC2OlgvzmTTzaBP6MCBAzFkyBCsXr0aly5dslRMRERkY9jqYL0UM9liY2sRHl6H2NhaDpRuxKBE6N1334WTkxNef/119OrVC7Gxsfjyyy9RU8OskohIzNjqYN0UM9ny8m4iPf02k6BGDEqEEhIS8O233+LIkSN49dVXcebMGcTHxyMwMBDJycnIz8+3VJxERCpKSyVISHBBUlIgEhJcOChXYPq2Oiie26hRrfjcyCpIqqqqTEoLDx06hKysLGzbtg1XrlxBhw4dMGHCBEycOBGBgYHmipMMUFJSgoCAAKHDEATrLo66a1oXpTnXrLEWtvbMzfncbK3u5iLWeluSyaPYevfujbCwMPTq1QtyuRx//fUXVq1ahUcffRRxcXE4f/68OeIkIlLiDCXbxOdG1sioREgul0MmkyEpKQmBgYFITEzEjRs38O677+LkyZM4ffo0lixZguLiYiQlJZk7ZiISOc5Qsk18bmSNDNpi4/jx4/j3v/+NL7/8EhUVFfD29saMGTMwadIk9OjRQ+XYmTNnQiKRIDU11awBExFxhpL1MGQPq+Z6btxXiwxhUCIUEREBFxcXjBw5EpMmTcKQIUPg4KA9k+/Rowf69+9vcpBERI1p29eKM5Sal6F7WDXHc+O+WmQog9ojly9fjlOnTiE9PR1RUVE6kyDgXuL01VdfmRQgEdH9Gs9QCg29znVRBGLomJ/mWM+G45DIUAYlQhcvXkRZWZnW13/77TcsXbrUoAAyMjIQHBwMLy8vREZGYv/+/TqPr62txaJFixAcHAxPT0/07t0ba9asMeieRGT7FOuirFlzmuuiCMSYMT+WXs+G45DIUAZ9MpYuXYoTJ05ofd3QRCgnJwcpKSl47bXXkJ+fj7CwMMTGxupMtmbMmIEffvgBy5cvx6FDh7Bhwwb06tXLkGoQEZEZWONYLXPExLWOxMWgMUJyue7Mvbq6Gi1atND7eitXrsTkyZPxwgsvAACWLVuGH374AZmZmViwYIHa8T/++CP27NmDI0eOwN3dHQDg5+dnQA2IiMhcrHGslqkxcYyR+DSZCP3yyy84fvy48ufCwkLU1dWpHVdVVYXMzEx0795drxvX1tbi6NGjePHFF1XKo6KiUMHETMoAACAASURBVFRUpPGcnTt34pFHHsHKlSvx+eefw9nZGY8//jjefPNNtG7dWq/7EhGReSjG/KSlOaO83AHe3sLP0DI1Jl1jjNLTb1siZBJYk4nQV199pezukkgkWL9+PdavX6/x2AceeADp6el63biyshL19fXw8PBQKffw8NC6oesff/yBAwcOoGXLlti0aROuXbuGuXPnory8HJs2bdJ6r5KSEr1isidirLMC6y4+Yq03YB11nzv3//6/thZorpB01d3YmM6cCQTgpKG8xirea8A6nnlzs+Rq2k0mQs8//zwef/xxyOVyPPHEE0hJSUF0dLTKMRKJBK6urujWrRucnNQ/QLpIJKp9r3K5XK1MoaGhARKJBOnp6Wjbti2Ae91p48aNw6VLl+Dp6anxPLEtRy7mJdhZd/HVXaz1Blh3S9S9a1dnHD6sudwa3msxP3NLaTIR6tChAzp06AAAyMvLQ48ePdRacYzh7u4OqVSq1vpz+fJlrdf38vKCj4+PMgkCoNzP7Pz581oTISIiIn1Y47gnsiyDZo099thjZkmCAMDJyQkhISGQyWQq5TKZDAMGDNB4zqOPPory8nJUV1cry37//XcAQOfOnc0SFxERiVdzrHVE1kVni1BycjIkEgmWL18OqVSK5OTkJi8okUiwYsUKvW6enJyMxMREhIaGYsCAAcjMzER5eTmmTZsGAEhMTAQArF27FgAwfvx4LFu2DMnJyUhJScG1a9eQkpKCmJgYsyVoREQkboq1jkgcdCZC+fn5cHBwQENDA6RSKfLz87WO31Fo6vXGxo0bhytXrmDZsmWoqKhAUFAQsrKy4OvrCwBqO9e3bt0a27dvx9y5cxEVFQU3NzeMHDlS41R7IiIioqboTIQaT5vX9LM5xMfHIz4+XuNrO3fuVCsLCAjAtm3bzB4HERE1H26MStbCoAUViYjIssSQIHDRQrImBg2WHjFiBDIzM3H58mVLxUNEJFqKBCE72wn79jkiO9sJY8a0srstHrgxKlkTgxKhq1ev4rXXXkNQUBDGjRuHLVu24Nq1a5aKjYhIVMSSIHBjVLImBn3qCgsLUVhYiJdffhmlpaWYPXs2AgMDMXnyZHz55Ze4deuWpeIkIrJ75koQrH3TUGvcrJXEy+D0u2fPnkhNTcXhw4chk8kwc+ZMHD9+HPHx8QgICMD06dMtEScRkd0z187pxnSvNWfylJpaA3//epUyLlpIQjGpHTIkJAQLFy7E8ePHlWsNbd++3VyxERGJijkSBGO615p7bBIXLSRrYtKssdLSUuTk5CAnJwcnTpyAVCpFVFSUuWIjIhIVc+zmbkz3mhA7rnPRQrIWBidCFy9eRE5ODrZt24aff/4ZwL2tL9577z3ExMTA3d3d7EESEYmFqQmCMd1rHLxMYmZQIjRixAgUFRWhoaEBjzzyCP7f//t/GDdunHJTViIiEpYxm4Zy8DKJmUGJUFVVFebPn4/x48ejS5cuFgqJiIiMZUz3GndcJzEzKBHav3+/peIgIiIzUXSvKVapTk521blKtTnGJhHZKm6xQUSkhbVud6GI68yZQHTt6qwxLkO3seDgZRIrnYlQcHAwHBwccOjQIbRo0QLBwcF67T5/9OhRswZJRNTcrHU/LNW4nHD4sOa4hJgJRmSLdCZCgwcPhkQigYODg8rPRET2zloTCX3j4kwwIv3oTIRWr16t82ciIntlrYmEvnFxJhiRfgz6Rv/rX/9CaWmp1tfPnTuHf/3rXyYHRUQkNGtNJPSNy5RVqq19rzIiczIoEUpOTsbBgwe1vl5cXIzk5GSTgyIiEpq17oelb1zGbmPR3NttEAnNoFljcrnuL9Dt27chlUp1HkNEZAusdUp547jOnKnROmtMcayh45msdWwUkaU0mQiVlZXh3Llzyp9Pnz6NgoICteOqqqqwfv16+Pn5mTdCIiKBWOuUckVcJSUlCAgIMOu1rXVsFJGlNJkIbdmyBUuXLoVEIoFEIsH777+P999/X+04uVwOBwcHLF++3CKBEhGR5bVpo3kM0gMPcJA12acmE6GYmBgEBgZCLpcjPj4e8fHxGDhwoMoxEokErq6uePjhh+Ht7W2xYImIyLK0jYBoYmQEkc1qMhEKCgpCUFAQAODOnTsYNGgQ9xkjItKTJVan1mdlaWPduKG5C6y6uumuMUPrasx7s2aNI954wwX19aGQSuVYtOg2kpLqmoxNjKx1ZXRrY9Bg6ZiYGFy5ckXr62VlZXB3d4erq6vJgRER2TpLrE6t78rSxjJ22QBD62rMe7NmjSNSUlwB3JvBVl8v+d/Pt5gM3cdaV0a3RgaNfnv99dcxefJkra8/++yz+Oc//2lyUERE9kDXDCxrumZjxi4bYGhcxtTjjTdcoEiC/o/kf+XUmKU/J/bEoERIJpNh1KhRWl8fNWoUfvjhB5ODIiKyB5aYgWXoNQ1dHNHY9YcMjcuY96a+XnPs2srFjLP/9GdQ11hFRYXOwdBeXl4oLy83OSgiInMQeoyEJVanNuSaxnaPGLNsgKF1Nea9kUrlGpMeqZRdPfez1pXRrZFBqWH79u3x22+/aX39t99+Q9u2bU0OiojIVNawQrIlVqc25JrN2T1iaF2NeW8WLboN4P6kR/6/cmrMWldGt0YGJULDhg3Dxo0bUVRUpPbaoUOHsHHjRgwbNsxswRERGcsaxkgY282k7zVDQ6/rvGZzdo8YWldj3pukpDosWXILUmkDADmk0gYsWcKB0ppY4rNnryRVVVV6vysVFRWIiopCeXk5Hn/8cTz00EOQSCQ4ceIEvv/+e3h5eeGHH36Aj4+PJWOmJlhitVlbwbqLr+7a6j1qVCvs26fe+x8eXoe8vJvNEZrFNfXMExJckJ3tpFYeG1trlStmG4KfdzIXg8YIeXl5QSaTYcGCBdi5cye+/fZbAMADDzyAuLg4LFiwAF5eXhYJlIjIEBwjca97pLhYqtIy5u9fj6lT7yAhwYXryxDBwEQIADw9PbF69WrI5XJcvnwZcrkcHh4ekEg4ap+IrIe2JEBMYyQ0bRw7deodzJ7tatL6MkIPQicyJ4MTIYWGhgZIpVK0adOGSRARWR1r3T2+ud0/AywhwcWk3eW5UB/ZG4NHzP38888YM2YMOnTogO7duyt3oq+srMSECROwZ88eswdJRGQMRRKQl3cT6em3+Ycapg+gtoZB6ETmZFAidPDgQYwYMQJnz57FxIkTIW+0C5+7uzuqq6vx2WefmT1IIiIyD1PHTnGhPrI3Bn1yFy5ciG7duqGoqAhvvvmm2uvh4eEoLi42W3BERGRepq4vw0HoZG8MSoR+/vlnTJkyBc7OzhrHBXXs2BEVFRVmC46IiMzL1PVluFAf2RuDBks7ODjAwUF77lRRUQEXF25+R0TiYmuzqIzZQqPxuRyETvbEoEQoJCQE33zzDRITE9Veq62tRXZ2NsLCwswWHBGRtbPFWVSmJm6mJFKN73/2rAMuXZLAw0OOrl2ZUJEwDEqEXn31VYwfPx6zZ89GbGwsAKC8vBzff/893nvvPZw9exYrV660SKBERNZI1ywqa1y9WejETdP9z50DDh+2/gSS7JNBY4SGDh2KtWvXYufOnRg7diwAYNasWYiNjcXJkyeRkZGB/v37WyRQIiJrZGuzqISe/q7p/kLEQaRg8IKK48ePx4gRIyCTyfD777+joaEB/v7+iI6ORuvWrS0RIxGR1bK1WVRCJ27a7t/ccRApGLWytKurK0aOHGnuWIiIbI6tbeUhdOKm7f7NHQeRAlNvIiITmDodvbkJPf1d0/2FiINIQWeLULt27eDg4ICLFy/CyckJ7dq102tfMalUCnd3d0RGRmLRokVo37692QImIrI2ps6iak5CT39vfP8//nBARYUEnp5y+Ptz1hgJQ2ciNHfuXEgkEjg6Oqr83JT6+nqUl5cjNzcXN27cwNatW80TLRERmUzoxE3o+xM1pjMRmj9/vs6fmxIYGIhly5YZHhURERFRMzBqsLS+nn76abi7u1vyFkRE1IitrXJNJDSDE6GqqiqsWLEC3377LcrKygAAnTt3xhNPPIHk5GS0a9dOeWyXLl3QpUsXswVLRETaCb1YIpEtMmjW2H//+18MGjQI77//Purq6vDYY49h8ODBqKurw/vvv49BgwahpKTEUrESEZEO2hZLTEnhIoVE2hjUIjRnzhxUV1cjNzcXERERKq/t2bMHzz33HObNm4ecnByzBklERE3TtlihTNYCpaXsIiPSxKAWoaKiIiQlJaklQQAQGRmJxMREHDhwwGzBERGR/rQtVlhTI+HWFURaGJQItW3bFm5ublpfd3Nz0/k6ERFZTmpqDVq21Nzqo8/WFaWlEiQkuGDUqFZISHBBaWnTy6UQ2TqDEqHnnnsOmzdvxo0bN9Reu3btGjZv3oznnnvOoAAyMjIQHBwMLy8vREZGYv/+/XqdV1hYCHd3dwwcONCg+xER2Ss/Pzmio+9qfK2prSsUA62zs52wb58jsrOdMGZMKyZDZPd0jhHatm2bys+BgYGQSCTo168fJk2ahK5duwIAfv/9d3z++efw8PBAQECA3jfPyclBSkoK3n//fTz66KPIyMhAbGwsDhw4gM6dO2s9r6qqCklJSYiMjMTFixf1vh8RWRdO9Ta/xYtr8Ntvhu99pmtXei5+KDzFd+XMmUB07erM74oZSaqqqrS+k4otNeTye4c0/n+tF5RIcOXKFb1uHh0djV69euHjjz9WlvXt2xcxMTFYsGCB1vOmTJmC3r17Qy6XY8eOHSgsLNTrfmJRUlJiUEJqT1h326m7pqne/v71Bk/1trV6m5O2uiv+aBqyhcaoUa2wb5/6v43Dw+uQl3fTbDGbi5ieu7m+K6SZzhahvLw8i924trYWR48exYsvvqhSHhUVhaKiIq3nZWRk4NKlS5gzZw7effddi8VHRJbFFgjLMWYLC6F3pSft+F2xLJ2J0GOPPWaxG1dWVqK+vh4eHh4q5R4eHrh06ZLGc06cOIGlS5fiu+++g1Qq1XiMJmJc20iMdVZg3W3DmTOBAJw0lNcYXA9bqrc2f/7phDVrOuKvv1rAw+MukpL+RMeOtU2eZ2rdFfc9f74WLi4OuH37//4sdOpUg+jos5g40dPguJqDPTx3fZjzu2KrLNn6Z9EtNvRx/yaucrlc48aud+7cwYwZM7Bw4UKDV6sWS/OpgpiajO/HuttO3bt2dcbhw5rLDamHrdVbk9JSCV55RbXr49Qptya7PnTVXZ/xV5ru26qVHEFB9fD3b8DUqXcxe3agwXE1B3t47voy13eFNDMoEXr66aebPEYikWDHjh1NHufu7g6pVKrW+nP58mW1ViIAKC8vx8mTJ5GcnIzk5GQAQENDA+RyOdzd3ZGdnY2oqCg9a0JEQktNrUFxseGDeu2Rubs+9N1qQ9N9b96UwN+/Aenpt5GQ4MIuGSvA74plGTR9XpF4NP6vrq4OZ8+exb59+3DhwgU0NOjXn+zk5ISQkBDIZDKVcplMhgEDBqgd36FDB+zfvx979+5V/jd9+nR07doVe/fuRVhYmCFVISKB+fnJsX37TcTG1iI8vA6xsbVW0dIgBG0rQuuz9o8muhIrQ+5r7rjIOI2/K6Gh10X9XbEEg1qEdu7cqfO1V155BevXr9f7esnJyUhMTERoaCgGDBiAzMxMlJeXY9q0aQCAxMREAMDatWvRokULPPTQQyrnt2/fHi1btlQrJyLbYMygXntk7oHK+iYwTd2XA6ith+K7IqYuweZitjFCI0eOREFBAV5//XV89dVXep0zbtw4XLlyBcuWLUNFRQWCgoKQlZUFX19fAMD58+fNFR4RkdUyd9eHvglMU/dllwyJgc51hAy1YcMGvP7667hw4YK5LklGEPO/GFh38dXdXuptzNo/utYR0nfdmabua0xczcFenruhxFpvSzLrrLHvvvsObdq0MecliYhEwZzdhIoxJfokME3dl92XZO8MSoSWLl2qsfzatWvYt28fjh8/jn/84x9mCYyIiIzHBIZIPwYlQkuWLNFY7ubmhq5du+Ljjz/GlClTzBIYERERkaUZlAhdvXrVUnEQERERNTuTxgjt3bsXWVlZKC8vR2BgIJKSknTuGk9ERERkTZpcFWvJkiXw8PBARUWFSvmWLVsQExODzZs34/vvv8eqVasQFRWFc+fOWSxYIiIiInNqMhHau3cvoqKi4OXlpSy7c+cO5s+fjzZt2iA3Nxfnz59HZmYmqqur8cEHH1g0YCIiIiJzaTIROnPmDPr166dStmfPHty4cQOzZ89GREQEWrVqhbFjx2LChAn46aefLBUrERERkVk1mQhdvXoV3t7eKmV79+6FRCLBk08+qVIeEhKC8vJy80ZIREREZCFNJkKenp5qK0UXFhaidevW6N27t+rFHBzg5ORk3giJiIiILKTJRKhv377YunUrqqqqAAC//PILjhw5goiICEgkEpVjT506hY4dO1omUiIiIiIza3L6/Jw5cxAVFYW+ffuiZ8+e+OWXXyCRSPDyyy+rHCeXy/HVV18hKirKYsESEZHpFPuHXbzoAB8f69k/jEgITbYI9erVC7m5uejXrx8uX76MsLAw5OTkoH///irH7d27F61bt8bo0aMtFiwREZlGsSFrdrYT9u1zRHa2E8aMaYXSUknTJxPZIb0WVHz00UeRlZWl85iIiAjs37/fLEEREZFlpKU5q+xKDwBnz0qRlubMvclIlJpsESIiIvtx8aLmX/vl5fxzQOLETz4RkYj4+DRoLPf21lxOZO+YCBERiUhqag38/etVyvz965GaWiNQRETCMmnTVSIisi1+fnJs334TaWnOKC93gLc3Z42RuDERIiISGT8/OQdGE/0Pu8aIiIhItJgIERERkWgxESIiIiLRYiJEZKdKSyVISHDBqFGtkJDgwpWDjVBQ4IDg4Nbw9X0AwcGtUVBgHb8yFc82KSmQz5bsnqU/3xwsTWSHFNsoNF5BuLhYiu3bb3J2kJ4KChwQE9MadXX3fglfvw7ExLRGbm41Bg8Wbs0d1WfrhMOH+WzJfik+70eOVFvsHtbxzxsiMitd2yiQfmbNclUmQQp1dRLMmuUqUET38NmSmGj6vJsbEyEiO8RtFExXVaW5Of7atXvlQnU98tmSmGj7vJsTu8aI7BC3UTCdm5sc16+rl7dtKxe065HPlsRE2+fdnPhPCCI7xG0UTLd69S04OqomNY6Ocqxefcus3VOGtizx2ZKYaPq8mxsTISI7pNhGITa2FuHhdYiNreVgWgMNHtyA3Nxq+PrWo23bBvj61isHSpure0rRspSd7YR9+xyRne2EMWNa6UyGGj/b0NDrfLZk1xSfd0ti1xiRneI2CqYbPLgBx46pz1YxV/eUrpYlXc9O8WxLSkoQEBBg0D2JbI2lk3y2CBERGchc3VMc+EwkPLYIEREZyFw7uHPgM5HwmAgRERnBHF2Pqak1KC6WqnSPceAzUfNiIkREJBBztSwRkfGYCBERCYiD2omExRF5REREJFpMhIiIiEi0mAgRERGRaDERIiLREmrjVHP5808nm46fyBpwsDQRiZKQG6eaQ2mpBLNnB+L8eSdlmS3FT2Qt2CJERKJkzo1ThZCW5ozz51VjtaX4iawFEyEiEiVb397C1uMnshb8xhCRKNn69ha2Hj+RtWAiRESiZK6NU83JkMHbqak16NRJNVah4yeyRRwsTUSiZG3bWxg6eNvPT44VK05jy5aeVhE/ka1iIkREomVN21voGrytLcaOHWutJn4iW8WuMSIiK8DBz0TC4DeMiMgKcPAzkTCYCBERWQFrHLxNJAYcI0REZAWsbfA2kVgwESIishLWNHibSCzYNUZERESixUSIiIiIREvwRCgjIwPBwcHw8vJCZGQk9u/fr/XYHTt2YOzYsejWrRs6deqE6Oho7Nq1qxmjJSIiInsiaCKUk5ODlJQUvPbaa8jPz0dYWBhiY2NRVlam8fiCggJEREQgKysL+fn5GDZsGKZMmaIzeSIiIiLSRtBEaOXKlZg8eTJeeOEF9OjRA8uWLYOXlxcyMzM1Hr906VK88sorCA0NRdeuXZGSkoKQkBDs3LmzmSMnIiIieyBYIlRbW4ujR48iKipKpTwqKgpFRUV6X6e6uhpubm7mDo+IiIhEQLDp85WVlaivr4eHh4dKuYeHBy5duqTXNdLT03HhwgXExcXpPK6kpMToOG2VGOuswLqLj1jrDbDuYiTGegcEBFjs2oKvIySRSFR+lsvlamWa5Obm4s0338S6devg6+ur81hLvoHWqKSkRHR1VmDdxVd3sdYbYN3FWHex1tuSBOsac3d3h1QqVWv9uXz5slor0f1yc3ORlJSENWvWYMSIEZYMk4iIiOyYYImQk5MTQkJCIJPJVMplMhkGDBig9bxt27YhMTERq1atQkxMjKXDJCIiIjsmaNdYcnIyEhMTERoaigEDBiAzMxPl5eWYNm0aACAxMREAsHbtWgDAl19+icTERCxcuBCDBg1CRUUFgHtJVbt27YSpBBEREdksQROhcePG4cqVK1i2bBkqKioQFBSErKws5Zif8+fPqxyfmZmJuro6zJ8/H/Pnz1eWDx48mFPoiYiIyGCCD5aOj49HfHy8xtfuT26Y7BAREZE5Cb7FBhGRPSstlSAhwQWjRrVCQoILSkubnhVLRM1H8BYhIiJ7VVoqwZgxrXD2rFRZVlwsxfbtN+HnJxcwMiJSYIsQEZGFpKU5qyRBAHD2rBRpac4CRURE92MiRERkIRcvav4VW17OX71E1oLfRiIiC/HxadBY7u2tuZyImh8TISIiC0lNrYG/f71Kmb9/PVJTawSKiIjux8HSREQW4ucnx/btN5GW5ozycgd4ezcgNbWGA6WJrAgTISIiC/LzkyM9/bbQYRCRFuwaIyIiItFiIkRERESixUSIiIiIRIuJEBEREYkWEyEiIiISLSZCREREJFpMhIiIiEi0mAgRERGRaDERIiIiItFiIkRERESixUSIiIiIRIuJEBEREYkWEyEiIiISLSZCREREJFpMhIiIiEi0mAgRERGRaDERIiIiItFiIkRERESixUSIiIiIRIuJEBEREYkWEyEiIiISLSZCREREJFpMhIiIiEi0mAgRERGRaDERIiIiItFiIkRERESixUSIiIiIRIuJEBEREYkWEyEiIiISLSZCREREJFpMhIiIiEi0mAgRERGRaDERIiIiItFiIkRERESixUSIiIiIRIuJEBEREYkWEyEiIiISLSZCREREJFpMhIiIiEi0mAgRERGRaDERIiIiItFiIkRERESixUSIiIiIRIuJEBEREYkWEyEiIiISLcEToYyMDAQHB8PLywuRkZHYv3+/zuP37duHyMhIeHl54eGHH0ZmZmYzRUpE1mTs2JZwc3sA/fuHws3tAYwd21LokIjIBgmaCOXk5CAlJQWvvfYa8vPzERYWhtjYWJSVlWk8/o8//sCECRMQFhaG/Px8vPrqq5g7dy5yc3ObOXIiEtLYsS0hk7XEvV9hEgAOkMlaMhkiIoMJmgitXLkSkydPxgsvvIAePXpg2bJl8PLy0trKs379enh7e2PZsmXo0aMHXnjhBUyaNAkrVqxo5siJSEgymRPuJUCNSf5XTkSkP0ehblxbW4ujR4/ixRdfVCmPiopCUVGRxnMOHjyIqKgolbLo6Gj861//wt27d9GiRQuN55WUlJgnaBsixjorsO5iEKqlXCKi9+AesdW3MbHWXYz1DggIsNi1BUuEKisrUV9fDw8PD5VyDw8PXLp0SeM5ly5dwpAhQ9SOr6urQ2VlJby9vTWeZ8k30BqVlJSIrs4KrLtY6i6HeovQvXLxvAdie+aqxFp3sdbbkgQfLC2RqP4yk8vlamVNHa+pnIjs19ChtbiXDDUm/185EZH+BEuE3N3dIZVK1Vp/Ll++rNZKpODp6anxeEdHRzz44IMWi5WIrMu2bXcwdOgdAA24lxA1YOjQO9i27Y7AkRGRrREsEXJyckJISAhkMplKuUwmw4ABAzSeExYWhp9++knt+EceeUTr+CAisk/btt1BVdUNHDp0GFVVN5gEEZFRBO0aS05OxtatW7Fp0yacOnUK8+bNQ3l5OaZNmwYASExMRGJiovL4adOm4cKFC0hJScGpU6ewadMmbN26FbNnzxaqCkRERGTDBBssDQDjxo3DlStXsGzZMlRUVCAoKAhZWVnw9fUFAJw/f17l+C5duiArKwuvv/46MjMz4e3tjaVLlyImJkaI8ImIiMjGCZoIAUB8fDzi4+M1vrZz5061ssceewz5+fmWDouIiIhEQPBZY0RERERCYSJEREREosVEiIiIiESLiRARERGJFhMhIiIiEi0mQkRERCRaTISIiIhItCRVVVX371xIREREJApsESIiIiLRYiJEREREosVEiIiIiESLiRARERGJFhMhIiIiEi0mQkRERCRaNpsIbdiwAaNGjYKvry/c3NxQWlqq13m5ubkYMGAAPD09MWDAAOTl5am8LpfLsXjxYvTs2RPe3t4YOXIkfvvtN0tUwWh37tzBnDlz0LVrV3To0AETJ07En3/+qfOcPn36wM3NTe2/CRMmKI9ZvHix2uuBgYGWro7ejKm3PnWy12f+wQcfYOjQoejcuTO6deuGuLg4/PrrryrHzJo1S+39efzxxy1ZlSZlZGQgODgYXl5eiIyMxP79+3Uev2/fPkRGRsLLywsPP/wwMjMzTb6mEAyJcceOHRg7diy6deuGTp06ITo6Grt27VI5ZsuWLRq/8zU1NZauisEMqfvevXs11uv06dMqxzX1u95aGFJ3Td9XNzc3dOjQQXmMvu+PkAoKCjBx4kQEBQXBzc0NW7ZsafKcEydOYMSIEfD29kZQUBCWLl0KuVx19R9jn7nNJkK3bt1CVFQUUlJS9D7n4MGDmD59OmJjY7F3717EsKykugAAEVVJREFUxsZi6tSpKC4uVh6zfPlyrFy5EkuXLsWPP/4IDw8PjB07Fjdu3LBENYwyf/585OXlYd26ddi1axdu3LiBuLg41NfXaz1HJpPh1KlTyv/27NkDiUSCMWPGqBwXEBCgcpw1/cEwpt5A03Wy12e+b98+zJgxA7t378aOHTvg6OiIMWPG4OrVqyrHDRkyROX9yc7OtnR1tMrJyUFKSgpee+015OfnIywsDLGxsSgrK9N4/B9//IEJEyYgLCwM+fn5ePXVVzF37lzk5uYafU0hGBpjQUEBIiIikJWVhfz8fAwbNgxTpkxR+2y7urqqPNtTp07B2dm5OaqkN2Ofz4EDB1Tq1a1bN+Vr+vyutwaG1n3JkiVqz7NLly5qv8cB3e+P0G7evImHHnoIS5YsgYuLS5PHX79+HWPHjoWnpyd+/PFHLFmyBJ988glWrFihPMaUZ27zCyoeOXIEQ4cOxX/+8x/4+fnpPHbatGm4evUqtm/friyLiYlB+/btsW7dOsjlcvTs2RMJCQn4xz/+AQC4ffs2AgICsHDhQkybNs2iddHHtWvX0L17d6xcuVLZmnP+/Hn06dMHX3zxBaKjo/W6znvvvYePP/4YJ0+ehKurK4B7rSc7duxAYWGhxeI3lrH1bqpOYnrm1dXV8PX1xZYtWzB8+HAA9/6FeeXKFfz73/+2WPyGiI6ORq9evfDxxx8ry/r27YuYmBgsWLBA7fgFCxYgLy8PP//8s7LsxRdfxMmTJ/Hdd98ZdU0hmCPGqKgoDBw4EIsWLQJwr0Vo7ty5TbYcCs3Quu/duxdPP/00fv/9d7i7u2u8ZlO/662Fqc/9wIEDeOqpp7B7924MGDAAgH7vjzXp2LEj3n33XTz77LNaj1m3bh3eeustnD59Wpk4LVu2DJmZmfj1118hkUhMeuY22yJkjEOHDiEqKkqlLDo6GkVFRQCA0tJSVFRUqBzj4uKCQYMGKY8R2tGjR3H37l2VGDt16oQePXroHaNcLsdnn32GuLg4ZRKk8McffyAoKAjBwcGYPn06/vjjD3OGbzRT6q2rTmJ55sC9RKihoQFubm4q5YWFhejevTtCQ0Px0ksv4a+//jJb7Iaora3F0aNH1b6jUVFRWut58OBBjd/pI0eO4O7du0Zds7mZK8bq6mq1Z3v79m307t0bDz30EOLi4vCf//zHLDGbiyl1HzJkCHr06IHRo0cjPz9f5bWmftdbA3M8940bNyIoKEiZBDWm6/2xNQcPHsTAgQNVWo+io6Nx8eJF5bAYU565qBKhiooKeHh4qJR5eHjg0qVLytcVZdqOEdqlS5cglUrVMn1DYpTJZCgtLcVzzz2nUt6vXz+sWrUK2dnZ+Pjjj1FRUYEnnngCV65cMVv8xjK23k3VSSzPHABSUlLQp08fhIWFKcsef/xxrFmzBrm5uUhLS8Phw4cxevRo3Llzx2zx66uyshL19fUGPYtLly5pPL6urg6VlZVGXbO5mSPG9PR0XLhwAXFxccqygIAArFixAlu3bkVGRgZatmyJp556Cr///rtZ4zeFMXX39vbGBx98gM8++wyfffYZAgICEBMTg4KCAuUxTf2utwamPvdr164hNzcXzz//vEq5Pu+PrdH2PVe8Bpj2zB3NFKdZpKWl4b333tN5TF5eHsLDw42+h0QiUflZLperlelzjLnpW3dtDIlx48aN6Nu3L4KDg1XKhw0bpvJzv379EBISgq1bt2L27Nl6XdtQlq63vnWy92f++uuv48CBA/jmm28glUqV5c8884zy/3v16oWQkBD06dMHu3fvxujRo/W6trkZ+iw0Ha8ob/z/hlxTCMbGmJubizfffBPr1q2Dr6+vsjwsLEwl6R0wYADCw8Oxdu1avPvuu+YL3AwMqXtAQAACAgKUP4eFheHcuXP45JNPMHjwYKOuKSRj48zKykJ9fT0mTpyoUq7v+2NrdH3PdR2jz3tpVYnQrFmzVGYxadKpUyejr+/l5aWWHV6+fFmZRXp5eQG4l2E2vk/jYyxF37ofOnQI9fX1qKysRPv27VViHDRoUJP3+euvv7Br164m/wADQOvWrdGzZ0+cOXOm6QoYqbnqrXB/ncTwzOfPn4+cnBzk5eWhS5cuOo/18fFBhw4dLPrMtXF3d4dUKtX5Hb2fp6enxuMdHR3x4IMPQi6XG3zN5mZMvRVyc3ORlJSENWvWYMSIETqPlUqlCAkJEeTZamNK3RsLDQ1FTk6O8uemftdbA1PrvnHjRowePRrt2rVr8tj73x9bo+17DkDl77ex76VVdY25u7sjMDBQ53/3j2kxRP/+/SGTyVTKZDKZsn/Vz88PXl5eKsfU1NSgsLBQYx+sOelb95CQELRo0UIlxj///BOnTp3SK8YtW7agZcuWGDduXJPH1tTUoKSkRJksWEJz1Vvh/jrZ+zOfN28evvjiC+zYsUOvpRAqKytx8eJFiz5zbZycnBASEqLzO3q/sLAw/PTTT2rHP/LII2jRooVR12xuxsa4bds2JCYmYtWqVYiJiWnyPnK5HCdOnBDk2Wpjrudz/PhxlXo19bveGphS9+LiYvzyyy9q3WLa3P/+2JqwsDAUFhaqLP0gk8ng4+OjnCRlyjOXpqSkvGXWiJtJRUUFzpw5g5KSEuTl5SEqKgo3b96Ek5OTckDV6NGjcfr0aQwZMgTAvX/tvvPOO2jRogXc3d2xceNGbNmyBcuXL0eHDh0gkUhQX1+PDz/8EN27d0d9fT3eeOMNVFRU4KOPPkLLli0FrPE9zs7OKC8vR3p6Onr37o1r167hlVdeQZs2bfD222/DweFebtu/f38A9/4loCCXy5GcnIwnn3xS43TL1NRUODk5oaGhAf/9738xZ84cnDlzBh9++CHatm3bPBXUwth6N1Une37m//jHP/D5559jw4YN6NSpE27evImbN28C+P/t3WtMFNcbx/HvigoShbUYJEpRpFsVrUbFmNRbFKVWSxRIlX1j1JpWg7fWW2larJS4IGqICtWqu4kGZTHVkOgmaowx3mNMJTZIQrwRb2hpgIoFVPi/aJxk/whKoe4iv0+yL3bOmbPnzCSTZ59zZuafi/CTJ09ITU2le/fuPH/+nGvXrrF06VJevHhBZmamR8beo0cPbDYbISEh+Pn5kZmZyfnz59m+fTuBgYF89dVXHDlyhNjYWADCw8PJysri8ePHvP/++7hcLjZv3kxaWhqDBg16oza9QUvH/euvv/Lll1+yfv16YmJijHP77Nkz4/qXnp5ObW0tnTp1orS0lJ9++olTp06xZcsWt+fOeFpLx56Tk0NZWRk+Pj6UlZWRk5PD3r17SUtLY+DAgcDrr/XeoqVjf8lms1FdXU1aWlqjqZ83OT6e9uTJE4qLiykrK2Pfvn1ERkYSEBBAXV0dgYGBrF+/ni1btmC1WgGIiIjA4XBw7do1LBYLFy5cICUlhRUrVhiBTmvOuVdNjbWE3W4nIyPD+P5yiiE7O9u4De/WrVv07dvXqDNmzBjsdjtpaWnYbDbCw8Ox2+1ERUUZdZYvX87ff//N6tWrqaioMFKKPXr0eEsje70NGzbg4+PD/PnzqampYcKECezYscNt7UdJSQnl5eVu+505c4abN2+ya9euV7Z7//59Fi5caEzBREVFceLECbd1B570b8b9JmN6V8/57t27ARplC9auXUtycjI+Pj4UFRWRl5dHZWUlvXv3Zvz48TgcDo+NPT4+nj///JPMzEzKysoYPHgw+fn5xvm6e/euW/3+/fuTn5/Pd999h91uJyQkhIyMDLcxv65Nb9DScdvtdp4/f05ycjLJycnG9rFjx3L06FHgn8W0y5cv59GjRwQEBDBs2DBcLpfbnyNv0NKxP3v2jB9++IEHDx7g5+dn1I+JiTHqvMm13hu0dOwAf/31F4cOHWLNmjWvXP/yJsfH03777Te34M5ms2Gz2bBarfz88888fPiQW7duGeWBgYEcPnyYVatWMWnSJMxmM0lJSW7rPFtzztv9c4RERERE/i2vWiMkIiIi8jYpEBIREZEOS4GQiIiIdFgKhERERKTDUiAkIiIiHZYCIREREemwFAiJiNdZvHgxH330UbtpV0TaLwVCItImcnNzMZvNxicoKIjIyEiWLFnCw4cPPd29JmVmZnLkyBFPd0NEPKTdPllaRLzTt99+S3h4OLW1tVy8eJH9+/dz7tw5zp8/b7z+wVO2bt1KfX2927ZNmzYRHx/PZ5995qFeiYgnKRASkTYVHR1tvPds7ty59OzZk+zsbFwuFwkJCR7p09OnT/H396dLly4e+X0R8V6aGhOR/9SECRMAuH37NvX19WRlZTFq1CiCg4MZPHgwq1evprKy8rXt5ObmMnPmTD788EOCg4MZNWoUWVlZjTI8M2bMYPTo0fz+++/ExsbSp08fVq5cCTReI2Q2m6mtreXAgQPGlN6MGTO4ceMGZrOZ7OzsRv0oLi7GbDbzyy+/tOawiIiXUEZIRP5TL1+e+N5777Fy5UocDgeffvopixYt4vr16+zZs4crV65w7NixZjM2u3btwmKxMGXKFLp168apU6f48ccfqaqqIiUlxa1uZWUl8fHxxMbGkpCQ0ORb5nfu3MmSJUuIiopi3rx5AAQHBxMREcGYMWNwOp0kJSW57eN0OunSpYvHslsi0rYUCIlIm6qqqqK8vJyamhouXbrExo0b6datGxaLha+//prZs2e7ZVMsFgvJyckcOHCAuXPnNtmuy+XC39/f+L5w4UKWLl3Kzp07Wbt2Lb6+vkbZo0ePSE9PZ9GiRc32dc6cOSxbtoz+/fszZ84ctzKr1cqKFSsoLi5m0KBBADQ0NHDw4EGio6MJCgpq0XEREe+kqTERaVMJCQlEREQwZMgQFixYQO/evXE6nVy+fBmAZcuWudVfsGABAQEBHDt2rNl2XwZBL168oKKigvLycsaNG0d1dTUlJSVudTt37mxkeP6tuLg4/Pz8cDqdxrazZ89y9+5dEhMTW9W2iHgPZYREpE1lZGQwcOBAfH19CQ0NJTQ0FJPJxOHDhzGZTFgsFrf6vr6+9OvXj9LS0mbbvXDhAqmpqVy5coW6ujq3sv9fYxQSEoKfn1+rxhEYGMj06dM5ePAgKSkpmEwm8vPzCQgIYNq0aa1qW0S8hwIhEWlTI0eONO4ae1MNDQ2YTKYmy2/fvk1cXBwDBgzAZrMRGhqKr68vhYWFrFu3rtGC6ba6Td9qtXLo0CHOnTvH6NGjKSgoYNasWa0OskTEeygQEpG3IiwsjIaGBkpKShg6dKixva6ujtLSUsaPH9/kvi6Xi5qaGvLy8ggLCzO237lzp9X9ai4Amzx5MiEhITidTv744w+qqqoarSUSkfZNa4RE5K2IiYkBaHRLusPhoKqqik8++aTJfX18fIB/Mkcv1dbWtskt7P7+/lRUVDT5u59//jkFBQXs27ePsLAwPv7441b/poh4D2WEROStGDJkCPPnzzcCn0mTJnH9+nUcDgcjR47EarU2uW90dDRdu3YlMTGRefPmUVdXR15eHp06tf6/3IgRIzh9+jTbtm2jT58+9OrVi4kTJxrlVquVbdu2cfLkSVatWtVsBklE2h8FQiLy1mzevJl+/fqxd+9ejh8/TlBQEF988QXff/99s88Q+uCDD8jNzSU1NZV169YRFBREYmIi48aNIy4urlV9Sk9P55tvviE9PZ3q6mrGjh3rFghFRkYyfPhwCgsLNS0m8g4yVVRUNLy+mohIxzV16lTq6+s5efKkp7siIm1Ma4RERJpRVFTE5cuXm526E5H2SxkhEZFXKCoq4urVq+zYsYN79+5RWFhI9+7dPd0tEWljygiJiLxCQUEBSUlJPH36lD179igIEnlHKSMkIiIiHZYyQiIiItJhKRASERGRDkuBkIiIiHRYCoRERESkw1IgJCIiIh3W/wADnLW0b6brXgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting scatter plot\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(\"Sentiment Analysis\")\n",
    "plt.xlim(-1,1)\n",
    "plt.xlabel('Polarity')\n",
    "plt.ylabel('Subjectivity')\n",
    "plt.show()\n",
    "\n",
    "# Only 3 neutral it is showing because it is overlapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Analysis'].value_counts().plot(kind='bar')\n",
    "plt.title(\"Sentiment Analysis\")\n",
    "plt.xlabel('Polarity')\n",
    "plt.ylabel('Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1) : Spotted: The ever innovative 's Burst Your Bubble cocktail in 's Netflix + Chill(ed): 12 C…\n",
      "\n",
      "2) Is  on your bucket list? Take a virtual tour of our oceanfront public course and discover the challenging game and unrivaled scenic beauty that awaits:  \n",
      "\n",
      "3) Central Park is truly one of the wonders of the world. At our corporate headquarters in Trump Tower, we are delighted to enjoy this spectacular view every day, but especially on EarthDay. \n",
      "\n",
      "4) Our  NeverSettle mantra has translated into nominations for the industry's top accolades! \n",
      "\n",
      "As you reflect on your favorite travel experiences with us, we would be honored to have your vote. Cast your ballot at  \n",
      "\n",
      "5) : Ballots are open! Several TrumpHotels have been nominated for the industry's top accolades ✨ As you share your favorite t…\n",
      "\n",
      "6) Exquisite atmosphere, delectable cuisine, and 18 holes of world-class golf. We love escaping to  for a relaxing afternoon away from New York City.  \n",
      "\n",
      "7) We are delighted to welcome you back to  on April 26th! Escape to the Ayrshire Coast this spring and discover the endless experiences that await at this historic destination. For more details, visit  \n",
      "\n",
      "8) Each Palm Beach sunrise is more captivating than the last, especially when viewed from the extraordinary Beach Club at Mar-A-Lago. \n",
      "\n",
      "9) Pictured here is ’s exquisitely manicured English garden surrounded by 1,300 acres of magnificent Virginia wine country. \n",
      "\n",
      "10) Experience the magic of Cherry Blossom season with ’s Cherry Picked Luxury offer.\n",
      "\n",
      "You'll enjoy a private walking tour, daily breakfast, and exclusive Cherry Blossom amenities—all things that make this signature season even more special.  🌸 \n",
      "\n",
      "11) The always iconic Trump or the classic USA? Shop the full T45 Collection at  \n",
      "\n",
      "12) : There's nothing like the sunny skies and stunning gardens at  to set the stage for your perfect moment. https:/…\n",
      "\n",
      "13) An ode to spring - to delectable cuisine, to New York City in bloom, to stunning Central Park views. Come see us this season at .🌳  \n",
      "\n",
      "14) : Happy first day of spring from our Trump Golf family! What are you looking forward to most this season? \n",
      "\n",
      "15) : With the most picturesque onsite chapel you have ever seen and an array of unique venues, weddings at the …\n",
      "\n",
      "16) : Few things pair better than golf and Guinness, especially on StPatricksDay. \n",
      "\n",
      "17) Only at  can you enjoy a front-row seat to Chicago's longstanding tradition of dyeing the river green.🍀 \n",
      "\n",
      "18) Spring into travel this year with our Daylight Savings offer! TODAY ONLY, enjoy 30% off all room types at any of our iconic  destinations. Book now at  \n",
      "\n",
      "19) : TODAY ONLY ⏰ Time to save more than just daylight! Spring into travel with our Daylight Savings offer and enjoy 30% off gu…\n",
      "\n",
      "20) Wake up with breathtaking views of the Caribbean Sea when you stay at Château des Palmiers, our luxurious estate on the stunning island of St. Martin.  \n",
      "\n",
      "21) There's no better place to Stay and Play than the legendary . Book your spring getaway at  \n",
      "\n",
      "22) : Taking time today to appreciate each of the incredible women at the forefront of our destinations across the globe! We cel…\n",
      "\n",
      "23) We’re looking forward to spring and the start of patio season, especially from the breathtaking terrace at . \n",
      "\n",
      "24) Spectacular ocean views, incredible location, and impeccable details make this newly listed, 8,269 square foot estate a magnificent home for Palm Beach living. \n",
      "\n",
      "For inquiries, visit  \n",
      "\n",
      "25) A castle, a king, and a lighthouse. Discover the compelling story behind one of our greatest Trump Treasures, the  Lighthouse. \n",
      "\n",
      "26) From signature cocktails to sweeping views, you’ll neversettle for less than exceptional when you stay at .\n",
      "\n",
      "Visit  for reservations.✨ \n",
      "\n",
      "27) : We are proud to announce that 7 of our destinations are among the first hotels in the world to become Sharecare Health Sec…\n",
      "\n",
      "28) Our beautiful flag waves proudly today and every day, but especially on Presidents Day.🇺🇸 \n",
      "\n",
      "29) Roses are red, fountains are blue, we'd love to have a spa day at  with you! Visit  to reserve your treatment. \n",
      "\n",
      "30) An entrance should always be entrancing, such as the stunning entryway pictured here at the distinguished . \n",
      "\n",
      "31) : Give the gift of luxury to that special someone! Our eGift Cards can be used at all Trump Hotels destinations for the expe…\n",
      "\n",
      "32) An iconic addition to our  selection, get your TRUMP hat at  \n",
      "\n",
      "33) With Pacific Ocean views from every hole,  presents a challenging game with unrivaled scenic beauty. Visit  to book your tee time. \n",
      "\n",
      "34) : Which iconic pairing do you prefer? Rosé Champagne + Chocolate 🥂 OR Dalmore Whiskey + Chocolate 🥃\n",
      "We might have to continue ta…\n",
      "\n",
      "35) Meticulously redeveloped to retain its incredible historic character. Who can guess which  is pictured here? \n",
      "\n",
      "36) Say \"I do\" at  among 1,300 acres of stunning Virginia wine country. From grand affairs to intimate gatherings, our expert team will ensure your special day is exactly as you imagined. Visit  \n",
      "\n",
      "37) : Our 1930 landmark property was restored to its original grandeur in 1996 by . Today, we stand as one of the most re…\n",
      "\n",
      "38) Whether you're snowed in or under the sun, it's the perfect time to shop ’s Valentine's Day gift guide for your special someone:  \n",
      "\n",
      "39) Enjoy new American fare at ’s Terrace 16 amidst iconic views of downtown Chicago. \n",
      "\n",
      "Now open for indoor dining, book your reservation at  \n",
      "\n",
      "40) A jewel within our portfolio for more than 15 years, we invite you to follow , our 72-story landmark property in the heart of New York City's financial district.\n",
      "\n",
      "To learn more about this iconic building, visit  \n",
      "\n",
      "41) : Welcome to 40 Wall Street, The Trump Building, where the history of New York’s financial district comes together with a ne…\n",
      "\n",
      "42) : We're dreaming of this coastal scene at , where golfers can enjoy 18 holes of world-class golf and unforgettable…\n",
      "\n",
      "43) : Designed for over the top Getaways set high above the Strip.  delivers a sophisticated take on Vegas style.…\n",
      "\n",
      "44) Luxury golf meets lush accommodations. Stay and play at , our premier golf resort destination in sunny South Florida:  \n",
      "\n",
      "45) : In less than a week,  is back online and ready to accept orders. A true testament to our incredible team! Visit h…\n",
      "\n",
      "46) Wishing you all a bright, healthy and Happy New Year! We look forward to seeing everyone at our  and  destinations in 2021.🎊 \n",
      "\n",
      "47) Enjoy 15% off digital gift card orders of $100 or more through December 31st!\n",
      "\n",
      "Redeemable for , , and Trump retail stores, your next adventure awaits at our world-class destinations around the globe. Purchase yours at  \n",
      "\n",
      "48) : Only three days left! ⏰ Take advantage of 15% off all eGift Card purchases of $100 or more through the end of the year!…\n",
      "\n",
      "49) On behalf of the entire Trump Organization, we would like to wish you a very Merry Christmas and a Happy Holiday season! \n",
      "\n",
      "50) Our incredible Bellman, Jesus, at  is known for singing to guests on birthdays and other special occasions. We hope you enjoy as much as our guests do!🌟 \n",
      "\n",
      "51) Give the gift of luxury and enjoy 15% off eGift card orders of $100 or more. \n",
      "\n",
      "Redeemable for , , and Trump Spas, an array of experiences await at our destinations around the globe. Shop now at  \n",
      "\n",
      "52) We're welcoming the first day of winter with a scene from our first snowfall. These are the magical moments that we look forward to in the months ahead!❄️ \n",
      "\n",
      "53) : The first day of Winter has us dreaming of the snowy Central Park views from  ❄️ \n",
      "\n",
      "54) We are incredibly proud of  and  for being awarded the No. 4 and No. 33 Top 100 Courses in the World by Golf World Magazine. Congratulations to both of our wonderful teams! \n",
      "\n",
      "55) : Congratulations to  Scotland for just being named the 4 “Best Course in the World” by  Magazine an…\n",
      "\n",
      "56) The riders and foxhounds felt right at home during the Essex Fox Hunt at  this year. What a wonderful way to honor our club's history and celebrate this longstanding tradition! \n",
      "\n",
      "57) : Give the gift of Trump this season. Featuring Holiday Gift Guides from , eGift Cards, and more, we have somethi…\n",
      "\n",
      "58) Every year, our corporate office collects gifts for _USA. This is an incredible cause that we are grateful to support, helping bring holiday cheer to those less fortunate in our community. \n",
      "\n",
      "59) Get in the holiday spirit while skating across the iconic , one of Central Park’s most well known attractions with spectacular New York City skyline views.✨ \n",
      "\n",
      "60) : Our first snowfall of the season! ❄️ \n",
      "\n",
      "61) Our Christmas tree at  is bringing a new level of luxury to Pennsylvania Avenue.✨ \n",
      "\n",
      "62) : Every Christmas, our office collects holiday presents for _USA to deliver love and happiness to less fortunate c…\n",
      "\n",
      "63) Unwind by an inviting fire and discover a wealth of whiskies and classic cocktails at ’s Clavis Whisky Bar.🥃 \n",
      "\n",
      "64) : Hosting the Great One  with Masters champion  and his better half, brother and caddie Austin Johnso…\n",
      "\n",
      "65) Last chance to take advantage of the Suitest Deal of the Year! Enjoy 30% savings on all  suites. \n",
      "\n",
      "In honor of GivingTuesday, a $10 donation is made to  with every booking:  \n",
      "\n",
      "66) Bring the World of Trump home with you this Christmas. \n",
      "\n",
      "Enjoy 50% off select apparel and 25% off everything on  Sale ends tonight! \n",
      "\n",
      "67) : Don't miss out on a legendary golf getaway to ! Make sure you have enough space to unwind after a day out on th…\n",
      "\n",
      "68) : Our suite, suite sale is here!  is known for their iconic exterior gold tint, made from actual 24KT gold in…\n",
      "\n",
      "69) Today we give thanks with grateful hearts. Happy Thanksgiving from our  family to yours! \n",
      "\n",
      "70) : From all of us at Trump Hotels, we are wishing you a very Happy Thanksgiving! 🦃 \n",
      "\n",
      "71) Swaying palm trees, bold bunkering, and pristine greens. It’s the heart of golf season for , , and ! \n",
      "\n",
      "72) Every year we watch Central Park transform into brilliant fall hues, and every year, our view is more breathtaking than the last.🍂 \n",
      "\n",
      "73) : Congratulations to our dear friend  on his incredible themasters win — No. 1 in world, 2nd major title, and 24t…\n",
      "\n",
      "74) Showcasing the Franklin Study at , a stunning event space adorned with endless art of cherry blossom trees, the capital city's signature flora. \n",
      "\n",
      "75) Today and every day, we celebrate the American heroes whose service and sacrifice allow us to live in safety and peace. VeteransDay \n",
      "\n",
      "76) Be inspired by the adventure that awaits at , our stunning hotel destination in one of America's most vibrant cities.  \n",
      "\n",
      "77) Experience true Irish hospitality at the dazzling , where old-world luxury meets magic charm. \n",
      "\n",
      "78) The contrast between pristine greens and stunning fall hues make this view of  all the more captivating. \n",
      "\n",
      "79) On behalf of the Trump Organization, we wish you and your families a very safe, spooky, and HappyHalloween! \n",
      "\n",
      "80) The legendary Turnberry Lighthouse has been named “World’s Best Halfway House” by the prestigious World Golf Awards! Congratulations to our incredible  team—we are so proud of the heritage and history represented by this iconic landmark!🏴󠁧󠁢󠁳󠁣󠁴󠁿 \n",
      "\n",
      "81) : We are thrilled to announce that the  Lighthouse has won \"World's Best Halfway House\" at the 2020 World Golf…\n",
      "\n",
      "82) : Honoured to reveal that our Iconic lighthouse has been named as the World's Best Halfway House at the prestigious …\n",
      "\n",
      "83) Rising 68 stories above 5th Avenue,  has remained one of New York’s most iconic properties since its completion in 1983. \n",
      "\n",
      "84) An enchanting spa treatment awaits you just beyond the lush garden entrance to The Spa at .  \n",
      "\n",
      "85) Revel in this majestic scene of the iconic  Lighthouse, a true Trump Treasure and stunning landmark of the Ayrshire coastline since 1873. \n",
      "\n",
      "86) Our story began more than four decades ago with one fearless leader. Today, that leadership continues under  and . \n",
      "\n",
      "Happy NationalBossDay to both of you! \n",
      "\n",
      "87) : Happy NationalBossDay to the leaders of our Trump Golf family,  and ! \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Lets get positive tweets only\n",
    "i=1\n",
    "sortedDF = df.sort_values(by=['Polarity'],ascending=False)\n",
    "for j in range(0,sortedDF.shape[0]):\n",
    "    if (sortedDF['Analysis'][j]=='Positive'):\n",
    "        print(str(i)+ ') ' + sortedDF['Tweets'][j])\n",
    "        print()\n",
    "        i=i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1) Savor the sweetness of  chocolates all summer long. Shipping of our decadent treats will pause May 1st and resume September 30th. Stock up today! \n",
      "\n",
      "2) : Not content with just donning green hats, everything from buildings to rivers goes green for St Patrick's Day! \n",
      "St. Patri…\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Lets get negative tweets only\n",
    "i=1\n",
    "sortedDF = df.sort_values(by=['Polarity'],ascending=False)\n",
    "for j in range(0,sortedDF.shape[0]):\n",
    "    if (sortedDF['Analysis'][j]=='Negative'):\n",
    "        print(str(i)+ ') ' + sortedDF['Tweets'][j])\n",
    "        print()\n",
    "        i=i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1) Discover the ultimate golf resort experience at , where luxury is woven into every detail. \n",
      "\n",
      "📷:  \n",
      "\n",
      "2) We’re spending NationalBeerDay with a decadent burger followed by a lavish afternoon on the white sand beaches of . \n",
      "\n",
      "3) : Spring Toward Travel with ! Featuring a spring themed amenity and a generous credit towards dining, their off…\n",
      "\n",
      "4) If we could be anywhere in the world this StPatricksDay, we'd be at , where Irish history and tradition is woven into every detail. \n",
      "\n",
      "5) : Weekends were made for our signature Martinis 🍸 What are you sipping on today? \n",
      "\n",
      "6) : Friday plans? You'll find us lounging at the Royal Palm Pool. \n",
      "\n",
      "7) Our signature Trump clock stands out in every setting. \n",
      "\n",
      "8) : From championship golf to world-class scotch and everything in between, our annual TrumpChallenge was one for the books! Co…\n",
      "\n",
      "9) Host in elegance and style this holiday season. Shop our  gift guide “For the Entertainer:”  \n",
      "\n",
      "10) Step away from the bustling city streets and into your escape at Trump Park Avenue, a landmarked architectural wonder on Manhattan's Upper East Side.  \n",
      "\n",
      "11) This  Tower is crafted entirely of chocolate, and you would never know. DessertDay \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Lets get neutral tweets only\n",
    "i=1\n",
    "sortedDF = df.sort_values(by=['Polarity'],ascending=False)\n",
    "for j in range(0,sortedDF.shape[0]):\n",
    "    if (sortedDF['Analysis'][j]=='Neutral'):\n",
    "        print(str(i)+ ') ' + sortedDF['Tweets'][j])\n",
    "        print()\n",
    "        i=i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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