Ubaydulloh_NLP_Sentiment-Analysis.ipynb

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        "# Description: This is a sentiment analysis that parses the tweets from Twitter using Python\n",
        "\n",
        "# Importing 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')"
      ],
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      "outputs": []
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      "source": [
        "# Twitter API Credentials\n",
        "consumerKey = \"DnaXPshCp7DmC9oj6JDS6Vi2C\"\n",
        "consumerSecret = \"e9m5e8cjLgrgH3wl0Bv3g8ZyeOPHsrZYeuV0cLANAYyE3Y5Atp\"\n",
        "accessToken = \"1036644696620118016-GdFu7cpIGPxHhiTf6Y0vVUAKNifd5n\"\n",
        "accessTokenSecret = \"LXrdlmDgJaeVStqerk2xo4EC8u3Zcl1qBVEYslaFKnHEp\""
      ],
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        "# Create the authentication object\n",
        "authenticate = tweepy.OAuthHandler(consumerKey, consumerSecret)\n",
        "\n",
        "# Set the access token and access token secret\n",
        "authenticate.set_access_token(accessToken, accessTokenSecret)\n",
        "\n",
        "# Create the API obhect while passing in the auth information\n",
        "api = tweepy.API(authenticate, wait_on_rate_limit=True)"
      ],
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      "source": [
        "# Extracting 100 tweets from the twitter user\n",
        "posts = api.user_timeline(screen_name = \"elonmusk\", count= 100,lang = \"en\", tweet_mode =\"extended\")\n",
        "\n",
        "# Print the last 10 tweets from the account\n",
        "print(\"Show the 10 recent tweets: \\n\")\n",
        "i = 1\n",
        "for tweet in posts[0:10]:\n",
        "  print(str(i) + ')' + tweet.full_text + '\\n')\n",
        "  i +=1"
      ],
      "execution_count": null,
      "outputs": [
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          "text": [
            "Show the 10 recent tweets: \n",
            "\n",
            "1)@waitbutwhy I strongly supported Obama for President, but today’s Democratic Party has been hijacked by extremists\n",
            "\n",
            "2)@WholeMarsBlog No further TSLA sales planned after today\n",
            "\n",
            "3)@MichaelDell @Twitter @Dell @emc 🤣\n",
            "\n",
            "4)“Real magic is only a sip away.”\n",
            "(Actual slogan of Coca-Cola!!) 🤣🤣\n",
            "\n",
            "5).@CocaCola Oh hi lol https://t.co/VhhVM9GzLJ\n",
            "\n",
            "6)@BillyM2k Same\n",
            "\n",
            "7)https://t.co/Q9OjlJhi7f\n",
            "\n",
            "8)@walterkirn Freedom of speech means freedom of speech\n",
            "\n",
            "9)@scrowder Discomforting\n",
            "\n",
            "10)@DavidSacks @willcain Accurate interview\n",
            "\n"
          ]
        }
      ]
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      "source": [
        "#Create a dataframe with a column called Tweets\n",
        "df = pd.DataFrame([tweet.full_text for tweet in posts], columns = ['Tweets'])\n",
        "\n",
        "#Show the first 5 rows of data\n",
        "df.head(10)"
      ],
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              "                                              Tweets\n",
              "0  @waitbutwhy I strongly supported Obama for Pre...\n",
              "1  @WholeMarsBlog No further TSLA sales planned a...\n",
              "2                 @MichaelDell @Twitter @Dell @emc 🤣\n",
              "3  “Real magic is only a sip away.”\\n(Actual slog...\n",
              "4       .@CocaCola Oh hi lol https://t.co/VhhVM9GzLJ\n",
              "5                                     @BillyM2k Same\n",
              "6                            https://t.co/Q9OjlJhi7f\n",
              "7  @walterkirn Freedom of speech means freedom of...\n",
              "8                            @scrowder Discomforting\n",
              "9           @DavidSacks @willcain Accurate interview"
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              "      <td>@waitbutwhy I strongly supported Obama for Pre...</td>\n",
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              "      <td>@WholeMarsBlog No further TSLA sales planned a...</td>\n",
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              "      <td>@MichaelDell @Twitter @Dell @emc 🤣</td>\n",
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              "      <th>3</th>\n",
              "      <td>“Real magic is only a sip away.”\\n(Actual slog...</td>\n",
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              "      <th>4</th>\n",
              "      <td>.@CocaCola Oh hi lol https://t.co/VhhVM9GzLJ</td>\n",
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              "      <th>5</th>\n",
              "      <td>@BillyM2k Same</td>\n",
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              "      <td>@scrowder Discomforting</td>\n",
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              "      <th>9</th>\n",
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      "source": [
        "#Cleaning 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) #Removed @mentions\n",
        "  text = re.sub(r'#', '', text) #Removed # symbols\n",
        "  text = re.sub(r'RT[\\s]+', '', text) #Removed RT\n",
        "  text = re.sub(r'https?:\\/\\/S+','', text) #Removed the hyper link\n",
        "  text = re.sub(r'https://+', '', text)\n",
        "  return text\n",
        "  \n",
        "df['Tweets']=df['Tweets'].apply(cleanTxt)\n",
        "df #Showing the cleaned text\n",
        "\n"
      ],
      "execution_count": null,
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            "text/plain": [
              "                                               Tweets\n",
              "0    I strongly supported Obama for President, but...\n",
              "1           No further TSLA sales planned after today\n",
              "2                                                   🤣\n",
              "3   “Real magic is only a sip away.”\\n(Actual slog...\n",
              "4                         . Oh hi lol t.co/VhhVM9GzLJ\n",
              "5                                                Same\n",
              "6                                     t.co/Q9OjlJhi7f\n",
              "7           Freedom of speech means freedom of speech\n",
              "8                                       Discomforting\n",
              "9                                  Accurate interview\n",
              "10                                      _Kyle_Mann 🤣🤣\n",
              "11                                           FCC FTW!\n",
              "12                                    t.co/SYNTEWKn7q\n",
              "13                                 Sounds like satire\n",
              "14                                        Great show!\n",
              "15                 Trumpet is legit a way better name\n",
              "16  : Video of Dragon’s Draco thrusters moving the...\n",
              "17     Listen, I can’t do miracles ok t.co/z7dvLMUXy8\n",
              "18                    Let’s make Twitter maximum fun!\n",
              "19                              Kicks Red Bull’s ass!\n",
              "20   Some sci-fi that actually features sci-fi wou...\n",
              "21  Next I’m buying Coca-Cola to put the cocaine b...\n",
              "22  Twitter DMs should have end to end encryption ...\n",
              "23               : Docking confirmed! t.co/RyPZBAv5Lo\n",
              "24                                                 🤣💫\n",
              "25   Attacks are coming thick and fast, primarily ...\n",
              "26                             Vegas Boring Co tunnel\n",
              "27   What are talking about? I’m just saying Twitt...\n",
              "28  For Twitter to deserve public trust, it must b...\n",
              "29    The Washington Post targets me relentlessly!..."
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              "      <td>I strongly supported Obama for President, but...</td>\n",
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              "      <th>1</th>\n",
              "      <td>No further TSLA sales planned after today</td>\n",
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              "      <td>🤣</td>\n",
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              "      <th>3</th>\n",
              "      <td>“Real magic is only a sip away.”\\n(Actual slog...</td>\n",
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              "      <th>4</th>\n",
              "      <td>. Oh hi lol t.co/VhhVM9GzLJ</td>\n",
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              "      <th>5</th>\n",
              "      <td>Same</td>\n",
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              "      <th>6</th>\n",
              "      <td>t.co/Q9OjlJhi7f</td>\n",
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              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Freedom of speech means freedom of speech</td>\n",
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              "      <th>8</th>\n",
              "      <td>Discomforting</td>\n",
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              "      <th>9</th>\n",
              "      <td>Accurate interview</td>\n",
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              "      <th>10</th>\n",
              "      <td>_Kyle_Mann 🤣🤣</td>\n",
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              "      <th>11</th>\n",
              "      <td>FCC FTW!</td>\n",
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              "      <th>12</th>\n",
              "      <td>t.co/SYNTEWKn7q</td>\n",
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              "      <th>13</th>\n",
              "      <td>Sounds like satire</td>\n",
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              "      <th>14</th>\n",
              "      <td>Great show!</td>\n",
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              "      <th>15</th>\n",
              "      <td>Trumpet is legit a way better name</td>\n",
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              "      <th>16</th>\n",
              "      <td>: Video of Dragon’s Draco thrusters moving the...</td>\n",
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              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Listen, I can’t do miracles ok t.co/z7dvLMUXy8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Let’s make Twitter maximum fun!</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Kicks Red Bull’s ass!</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Some sci-fi that actually features sci-fi wou...</td>\n",
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              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Next I’m buying Coca-Cola to put the cocaine b...</td>\n",
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              "      <th>22</th>\n",
              "      <td>Twitter DMs should have end to end encryption ...</td>\n",
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              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>: Docking confirmed! t.co/RyPZBAv5Lo</td>\n",
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              "      <th>24</th>\n",
              "      <td>🤣💫</td>\n",
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              "      <th>25</th>\n",
              "      <td>Attacks are coming thick and fast, primarily ...</td>\n",
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              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Vegas Boring Co tunnel</td>\n",
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              "      <th>27</th>\n",
              "      <td>What are talking about? I’m just saying Twitt...</td>\n",
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              "      <th>28</th>\n",
              "      <td>For Twitter to deserve public trust, it must b...</td>\n",
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              "      <th>29</th>\n",
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              "\n",
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "            + ' to learn more about interactive tables.';\n",
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          },
          "metadata": {},
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        }
      ]
    },
    {
      "cell_type": "code",
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          "base_uri": "https://localhost:8080/",
          "height": 704
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        "id": "CEvyKCmWZ5gF",
        "outputId": "4f86bcd3-963b-4d1b-bd81-bbf3e595ca1c"
      },
      "source": [
        "# Create a function to get the subjectivity\n",
        "def getSubjectivity(text):\n",
        "  return TextBlob(text).sentiment.subjectivity\n",
        "\n",
        "# Create a function to get the polarity\n",
        "def getPolarity(text):\n",
        "  return TextBlob(text).sentiment.polarity\n",
        "\n",
        "# Create two new columns\n",
        "df['Subjectivity'] = df['Tweets'].apply(getSubjectivity)\n",
        "df['Polarity'] = df['Tweets'].apply(getPolarity)\n",
        "\n",
        "# Show the new dataframe with new columns\n",
        "df\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "                                               Tweets  Subjectivity  Polarity\n",
              "0    I strongly supported Obama for President, but...      0.733333  0.433333\n",
              "1           No further TSLA sales planned after today      0.500000  0.000000\n",
              "2                                                   🤣      0.000000  0.000000\n",
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              "4                         . Oh hi lol t.co/VhhVM9GzLJ      0.700000  0.800000\n",
              "5                                                Same      0.125000  0.000000\n",
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              "7           Freedom of speech means freedom of speech      0.000000  0.000000\n",
              "8                                       Discomforting      0.000000  0.000000\n",
              "9                                  Accurate interview      0.633333  0.400000\n",
              "10                                      _Kyle_Mann 🤣🤣      0.000000  0.000000\n",
              "11                                           FCC FTW!      0.000000  0.000000\n",
              "12                                    t.co/SYNTEWKn7q      0.000000  0.000000\n",
              "13                                 Sounds like satire      0.000000  0.000000\n",
              "14                                        Great show!      0.750000  1.000000\n",
              "15                 Trumpet is legit a way better name      0.500000  0.500000\n",
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              "17     Listen, I can’t do miracles ok t.co/z7dvLMUXy8      0.500000  0.500000\n",
              "18                    Let’s make Twitter maximum fun!      0.200000  0.375000\n",
              "19                              Kicks Red Bull’s ass!      0.000000  0.000000\n",
              "20   Some sci-fi that actually features sci-fi wou...      0.425000  0.400000\n",
              "21  Next I’m buying Coca-Cola to put the cocaine b...      0.000000  0.000000\n",
              "22  Twitter DMs should have end to end encryption ...      0.000000  0.000000\n",
              "23               : Docking confirmed! t.co/RyPZBAv5Lo      1.000000  0.500000\n",
              "24                                                 🤣💫      0.000000  0.000000\n",
              "25   Attacks are coming thick and fast, primarily ...      0.412004  0.049851\n",
              "26                             Vegas Boring Co tunnel      1.000000 -1.000000\n",
              "27   What are talking about? I’m just saying Twitt...      0.100000  0.000000\n",
              "28  For Twitter to deserve public trust, it must b...      0.469048  0.135714\n",
              "29    The Washington Post targets me relentlessly!...      0.583333  0.300000"
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              "            + ' to learn more about interactive tables.';\n",
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            ]
          },
          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "id": "YoF8tIPMbNQW",
        "outputId": "1f057d79-4330-4ccf-a6c3-715a41c45727"
      },
      "source": [
        "#how wel the sentiments are distributed\n",
        "\n",
        "# Plot Word cloud\n",
        "allWords= ' '.join([twts for twts in df['Tweets']])\n",
        "wordCloud = WordCloud(width = 500,height= 300, random_state =21,max_font_size=110).generate(allWords)\n",
        "\n",
        "plt.imshow(wordCloud, interpolation= \"bilinear\")\n",
        "plt.axis('off')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 989
        },
        "id": "Jxi9434mkufP",
        "outputId": "fbfa5b27-f10f-4275-887e-4a64b62339d6"
      },
      "source": [
        "#Create a function to compute the negative, neutral and positive analysis\n",
        "def getAnalysis(score):\n",
        "  if score<0:\n",
        "    return 'Negative'\n",
        "  elif score == 0:\n",
        "   return 'Neutral'\n",
        "  else:\n",
        "    return 'Positive'\t\n",
        "\n",
        "df['Analysis'] =df['Polarity'].apply(getAnalysis)\n",
        "\n",
        "#Show the dataframe\n",
        "df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                               Tweets  Subjectivity  Polarity  \\\n",
              "0    I strongly supported Obama for President, but...      0.733333  0.433333   \n",
              "1           No further TSLA sales planned after today      0.500000  0.000000   \n",
              "2                                                   🤣      0.000000  0.000000   \n",
              "3   “Real magic is only a sip away.”\\n(Actual slog...      0.700000  0.250000   \n",
              "4                         . Oh hi lol t.co/VhhVM9GzLJ      0.700000  0.800000   \n",
              "5                                                Same      0.125000  0.000000   \n",
              "6                                     t.co/Q9OjlJhi7f      0.000000  0.000000   \n",
              "7           Freedom of speech means freedom of speech      0.000000  0.000000   \n",
              "8                                       Discomforting      0.000000  0.000000   \n",
              "9                                  Accurate interview      0.633333  0.400000   \n",
              "10                                      _Kyle_Mann 🤣🤣      0.000000  0.000000   \n",
              "11                                           FCC FTW!      0.000000  0.000000   \n",
              "12                                    t.co/SYNTEWKn7q      0.000000  0.000000   \n",
              "13                                 Sounds like satire      0.000000  0.000000   \n",
              "14                                        Great show!      0.750000  1.000000   \n",
              "15                 Trumpet is legit a way better name      0.500000  0.500000   \n",
              "16  : Video of Dragon’s Draco thrusters moving the...      0.000000  0.000000   \n",
              "17     Listen, I can’t do miracles ok t.co/z7dvLMUXy8      0.500000  0.500000   \n",
              "18                    Let’s make Twitter maximum fun!      0.200000  0.375000   \n",
              "19                              Kicks Red Bull’s ass!      0.000000  0.000000   \n",
              "20   Some sci-fi that actually features sci-fi wou...      0.425000  0.400000   \n",
              "21  Next I’m buying Coca-Cola to put the cocaine b...      0.000000  0.000000   \n",
              "22  Twitter DMs should have end to end encryption ...      0.000000  0.000000   \n",
              "23               : Docking confirmed! t.co/RyPZBAv5Lo      1.000000  0.500000   \n",
              "24                                                 🤣💫      0.000000  0.000000   \n",
              "25   Attacks are coming thick and fast, primarily ...      0.412004  0.049851   \n",
              "26                             Vegas Boring Co tunnel      1.000000 -1.000000   \n",
              "27   What are talking about? I’m just saying Twitt...      0.100000  0.000000   \n",
              "28  For Twitter to deserve public trust, it must b...      0.469048  0.135714   \n",
              "29    The Washington Post targets me relentlessly!...      0.583333  0.300000   \n",
              "\n",
              "    Analysis  \n",
              "0   Positive  \n",
              "1    Neutral  \n",
              "2    Neutral  \n",
              "3   Positive  \n",
              "4   Positive  \n",
              "5    Neutral  \n",
              "6    Neutral  \n",
              "7    Neutral  \n",
              "8    Neutral  \n",
              "9   Positive  \n",
              "10   Neutral  \n",
              "11   Neutral  \n",
              "12   Neutral  \n",
              "13   Neutral  \n",
              "14  Positive  \n",
              "15  Positive  \n",
              "16   Neutral  \n",
              "17  Positive  \n",
              "18  Positive  \n",
              "19   Neutral  \n",
              "20  Positive  \n",
              "21   Neutral  \n",
              "22   Neutral  \n",
              "23  Positive  \n",
              "24   Neutral  \n",
              "25  Positive  \n",
              "26  Negative  \n",
              "27   Neutral  \n",
              "28  Positive  \n",
              "29  Positive  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-fbd62681-cc79-4b73-aa47-1f4b9b93caf5\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>I strongly supported Obama for President, but...</td>\n",
              "      <td>0.733333</td>\n",
              "      <td>0.433333</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>No further TSLA sales planned after today</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>🤣</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>“Real magic is only a sip away.”\\n(Actual slog...</td>\n",
              "      <td>0.700000</td>\n",
              "      <td>0.250000</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>. Oh hi lol t.co/VhhVM9GzLJ</td>\n",
              "      <td>0.700000</td>\n",
              "      <td>0.800000</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Same</td>\n",
              "      <td>0.125000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>t.co/Q9OjlJhi7f</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Freedom of speech means freedom of speech</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Discomforting</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Accurate interview</td>\n",
              "      <td>0.633333</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>_Kyle_Mann 🤣🤣</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>FCC FTW!</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>t.co/SYNTEWKn7q</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Sounds like satire</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Great show!</td>\n",
              "      <td>0.750000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Trumpet is legit a way better name</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>: Video of Dragon’s Draco thrusters moving the...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Listen, I can’t do miracles ok t.co/z7dvLMUXy8</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Let’s make Twitter maximum fun!</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0.375000</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Kicks Red Bull’s ass!</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Some sci-fi that actually features sci-fi wou...</td>\n",
              "      <td>0.425000</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Next I’m buying Coca-Cola to put the cocaine b...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Twitter DMs should have end to end encryption ...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>: Docking confirmed! t.co/RyPZBAv5Lo</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>🤣💫</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Attacks are coming thick and fast, primarily ...</td>\n",
              "      <td>0.412004</td>\n",
              "      <td>0.049851</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Vegas Boring Co tunnel</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>Negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>What are talking about? I’m just saying Twitt...</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>For Twitter to deserve public trust, it must b...</td>\n",
              "      <td>0.469048</td>\n",
              "      <td>0.135714</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>The Washington Post targets me relentlessly!...</td>\n",
              "      <td>0.583333</td>\n",
              "      <td>0.300000</td>\n",
              "      <td>Positive</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RrkxaqTvfIES",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d3e306a9-6d22-448f-c18b-a02f76eba657"
      },
      "source": [
        "# Print all of 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+=1   "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1) I strongly supported Obama for President, but today’s Democratic Party has been hijacked by extremists\n",
            "\n",
            "2)“Real magic is only a sip away.”\n",
            "(Actual slogan of Coca-Cola!!) 🤣🤣\n",
            "\n",
            "3). Oh hi lol t.co/VhhVM9GzLJ\n",
            "\n",
            "4)  Accurate interview\n",
            "\n",
            "5)  Great show!\n",
            "\n",
            "6) Trumpet is legit a way better name\n",
            "\n",
            "7)Listen, I can’t do miracles ok t.co/z7dvLMUXy8\n",
            "\n",
            "8)Let’s make Twitter maximum fun!\n",
            "\n",
            "9) Some sci-fi that actually features sci-fi would be great\n",
            "\n",
            "10): Docking confirmed! t.co/RyPZBAv5Lo\n",
            "\n",
            "11) Attacks are coming thick and fast, primarily from the left, which is no surprise, however I should be clear that the right will probably be a little unhappy too.\n",
            "\n",
            "My goal is to maximize area under the curve of total human happiness, which means the ~80% of people in the middle.\n",
            "\n",
            "12)For Twitter to deserve public trust, it must be politically neutral, which effectively means upsetting the far right and the far left equally\n",
            "\n",
            "13)  The Washington Post targets me relentlessly! \n",
            "\n",
            "Their insults could be higher quality, but some are not bad. I gave them 3 stars on Yelp.\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6CQaQOU6qrFp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "724c3058-5d3c-47b7-cd99-8e764c06f1a6"
      },
      "source": [
        "#print the negative tweets\n",
        "j=1\n",
        "sortedDF = df.sort_values(by=['Polarity'],ascending='False')\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+=1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1)  Vegas Boring Co tunnel\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "id": "JhdYPKJrrDKy",
        "outputId": "52326018-9b01-42e7-ac93-74383cb29b4f"
      },
      "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('Sentimenal Analysis')\n",
        "plt.xlabel('Polarity')\n",
        "plt.ylabel('Subjectivity')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ],
            "image/png": 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73ykuLk4PPfRQufYxatQoubi4aP78+froo49Uu3ZtPfjgg5o7d66SkpLKFWZunml54okniu139913q1+/flq3bp1Wr16tkSNHlml/f/rTn+Tm5qYPPvhAS5cuVf369dW9e3fFxMSU6UnVNWvW1NChQ/Xuu+9q6NChqlevXqE+jz32mK5du6bdu3fr0KFD+vXXX+Xl5aU+ffpo4sSJCgoKKnYf5V0fsAfThQsXCp8LBgAY0qBBg/T1119rx44datWqlaPLASoFc2YAoJo4cOCAvv76az300EMEGdxWuMwEAAa3ePFipaena+XKlTKZTHrllVccXRJQqbjMBAAG17ZtW/38889q0qSJXnrppUI3+wOqO8IMAAAwNObMAAAAQyPMAAAAQyPMlFFqaqqjS7C76j7G6j4+iTFWF4yxemCM9kOYAQAAhkaYAQAAhkaYAQAAhkaYAQAAhkaYAQAAhkaYAQAAhkaYAQAAhkaYAQAAhkaYAQAAhkaYAQAAhubQMLN9+3YNGzZMLVu2lKurq1asWFHiOt9995369esnLy8vtWzZUnFxcSooqLwHf6elmTR2bB2NH++vsWPrKC3NVGn7BoDqhs9UVIQajtz5lStX1KpVKw0fPlzjx48vsf9///tfDRw4UJ07d9bXX3+t1NRURUVFqW7dupo0aZLd601LM2nAgHo6ftxZkov27ZP27nXWunVX5ONTeYEKAKoDPlNRURx6Zubhhx/WtGnTFB4eLienkktZtWqVsrOzNX/+fLVq1Urh4eF69tlnNW/evEo5OxMbW/v/fuj+5/hxZ8XG1rb7vgGguuEzFRXFoWdmbLVnzx49+OCDqlOnjrmtZ8+eev3115WWlqYmTZpYXa+inuJ57Ji/JBcr7TnV9mmo1XVcN1X38UmMsbqojmPkM7V6sscY/fz8il1uqDBz5swZ3XPPPRZt7u7u5mVFhZmS3oTSatq0tvbts95eUfuoSlJTU6vluG6q7uOTGGN1UV3HyGdq9eOoMfJtJhvExOTI1zfPos3XN08xMTkOqggAjIvPVFQUQ4UZDw8PZWVlWbTdfO3h4WH3/fv4FGjduiuKiMhVUNB/FRGRy0Q1ACgjPlNRUQx1mSk4OFh//vOflZOTo9q1b0wQS05Olre3t3x8fCqlBh+fAi1cmH1bnC4EAHvjMxUVwaFnZi5fvqyDBw/q4MGDys/P16lTp3Tw4EGdPHlSkvTqq68qLCzM3P+xxx5TnTp1NHHiRH3//fdKSkrSO++8o4kTJ8pk4t4EAADcjhwaZr799luFhIQoJCRE2dnZmjlzpkJCQjRjxgxJUkZGho4fP27u36BBA61du1bp6enq0aOHXn75ZUVFRenpp5921BAAAICDOfQyU9euXXXhwoUil8+fP79QW+vWrfXZZ5/ZsywAAGAghpoADAAA8FuEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGiEGQAAYGgODzOLFi1SQECAPD091a1bN+3YsaPY/qtWrdJDDz0kb29v+fv7a9y4ccrMzKykagEAQFXj0DCzZs0aRUdH68UXX1RKSoqCg4MVERGhkydPWu2/a9cuRUZGavjw4dq5c6dWrFihw4cPa+zYsZVcOQAAqCocGmbmzp2rESNGaOTIkWrevLni4+Pl6emphIQEq/2/+eYb3XPPPYqKilKTJk3UsWNHjRs3Tvv27avkygEAQFXhsDCTm5ur/fv3KzQ01KI9NDRUu3fvtrpOp06dlJmZqc8++0wFBQU6e/as1qxZo169elVGyQAAoAoyXbhwocARO05PT1fLli21ceNGdenSxdweFxenVatWae/evVbXS0pKUlRUlLKzs3X9+nX16NFDK1euVJ06dYrcV2pqaoXXDwAAKoefn1+xy2tUUh0V4vDhw5oyZYpefvllhYaGKjMzU//v//0/Pffcc3r//feLXK+kN6EsUlNT7bLdqqS6j7G6j09ijNUFY6weGKP9OCzMuLm5ydnZWVlZWRbtWVlZ8vDwsLrOW2+9pfvvv1/PPPOMJKlNmzaqW7eu+vbtq2nTpunee++1e90AAKBqcdicGRcXFwUGBio5OdmiPTk5WZ06dbK6TnZ2tpydnS3abr7Oz8+3T6EAAKBKc+i3maKiorRy5UotX75cR44c0ZQpU5SRkaFRo0ZJkiIjIxUZGWnu36dPH23atEmLFy/WiRMntGvXLk2ZMkXt2rXTfffd56hhAAAAB3LonJlBgwbp3Llzio+PV2Zmplq2bKnExEQ1btxYknTq1CmL/n/4wx90+fJlLVy4UDExMapfv75CQkL05z//2QHVAwCAqsDhE4DHjBmjMWPGWF22cePGQm2/PVsDAABubw5/nAEAAEB5EGYAAIChEWYAAIChEWYAAIChEWYAAIChEWYAAIChEWYAAEC5pKWZNHZsHY0f76+xY+soLc1Uqft3+H1mAACAcaWlmTRgQD0dP+4syUX79kl79zpr3bor8vEpqJQaODMDAADKLDa29v8Fmf85ftxZsbG1K60GwgwAACiz9HTrUSIjo/IiBmEGAACUmbd3vtV2Ly/r7fZAmAEAlMvNyZ/9+9dzyORPOFZMTI58ffMs2nx98xQTk1NpNTABGABQZpaTP2+o7MmfcCwfnwKtW3dFsbG1dexYjpo2ra2YmJxKPf6EGQBAmRU3+XPhwmwHVYXK5uNToIULs5Wamio/P79K3z+XmQAAZVYVJn8C/GsDAJRZVZj8CRBmAABlVhUmfwLMmQEAlNmtkz8zMpzk5ZVf6ZM/AcIMAKBcbk7+BByFy0wAAMDQCDMAAMDQCDMAAMDQCDMAUEXdfEzA+PH+PCbgNsLjIWzHBGAAqIIsHxPgon37eEzA7YDHQ5QNZ2YAoAoq7jEBqL447mVDmAGAKojHBNyeOO5lw7sDAFUQjwm4PXHcy4YwAwBVEI8JuD1x3MuGCcAAUAXd+piAY8dy1LRpbR4TcBvg8RBlQ5gBgCrq5mMCUlNT5efn5+hyUEl4PITtuMwEAAAMjTADAAAMjTADAAAMjTADAAAMjTADAAAMjTADAAAMjTADAAAMjTADAAAMjTADAAAMjTADAAAMjTADAAAMjTADAAAMjTADAAAMzaYw06tXLyUkJOj8+fP2qgcAUMWkpZk0dmwd9e9fT2PH1lFamsnRJQEWbAozV69e1YsvvqgWLVro8ccf14YNG3Tt2jV71QYAcLC0NJMGDKinVatctG1bDa1a5aIBA+oRaFCl2BRmUlJStHv3bkVFRengwYN64okn5O/vrxdeeEG7d++2V40AAAeJja2t48edLdqOH3dWbGxtB1UEFGbznBl/f39NmzZNBw8e1KeffqqwsDCtXbtWffv2Vfv27TVr1iwdO3bMHrUCACpZerr1/yYyMphyiaqjXP8au3TpotmzZ2v//v0aMGCATpw4obi4OHXo0EF9+vTRp59+WlF1AgAcwNs732q7l5f1dsARyhVmUlJS9PTTT6tt27Zau3at2rRpo9dff11xcXG6cuWKnnjiCf3lL3+pqFoBAJUsJiZHvr55Fm2+vnmKiclxUEVAYTVsXeH7779XYmKiPvnkE50+fVru7u564oknNHz4cLVu3drcb+zYsXr++ee1ZMkSTZs2rUKLBgBUDh+fAq1bd0WxsbWVkeEkL698xcTkyMenwNGlAWY2hZkuXbrohx9+UK1atdS3b18NHz5cPXv2lJOT9RM8Xbp00dKlSyuiTgCAg/j4FGjhwmxHlwEUyaYwc+edd+rtt9/WgAED1KBBgxL79+vXTwcOHChzcQAAACWxKcwsXLhQd999t+rUqWN1eXZ2tn755Rfdd999kqS6deuqcePG5a8SAACgCDZNAG7Xrl2x31D67LPP1K5dO5sKWLRokQICAuTp6alu3bppx44dxfbPzc3V66+/roCAAHl4eKhNmzZasGCBTfsEAADVh01nZgoKip/wdf36dZlMpb8r5Jo1axQdHa2//vWveuCBB7Ro0SJFRERo165d5rM7vzV69GidPn1as2fPVtOmTZWVlaXsbK7lAgBwu7L520xFhZWLFy/qyy+/lLu7e6m3NXfuXI0YMUIjR46UJMXHx+urr75SQkKCpk+fXqj/119/rZSUFH377bdyc3OTJPn4+Ng6BAAAUI2UeJlp1qxZatiwoRo2bCiTyaRx48aZX9/6x9fXV6tWrdLgwYNLtePc3Fzt379foaGhFu2hoaFFPhph48aNat++vebOnatWrVrp/vvv1+TJk3X58uVS7RMAAFQ/JZ6ZCQoK0lNPPSXpxvyWHj16qFmzZhZ9TCaT6tWrp8DAQIWFhZVqx2fPnlVeXl6hMznu7u46c+aM1XVOnDihXbt2qVatWlq+fLkuXryoyZMnKyMjQ8uXLy9yX6mpqaWqyVb22m5VUt3HWN3HJzHG6oIxVg+MsWz8/PyKXV5imOnVq5d69eolSbpy5YpGjx6tDh06VEx1NsrPz5fJZNLChQvNXw2Pj4/XoEGDdObMGXl4eFhdr6Q3oSxSU1Ptst2qpLqPsbqPT2KM1QVjrB4Yo/3YNGdm3rx5FbZjNzc3OTs7Kysry6I9KyuryFDi6ekpb29vi3vc+Pv7S5JOnTpV5HoAcDtISzMpNra20tOd5O3NnXpx+yg2zGzfvl3SjTv53vq6JDf7F8fFxUWBgYFKTk7WgAEDzO3JyclFXqp64IEHtH79el2+fFl33HGHJOno0aOSVOS3nwDgdpCWZtKAAfV0/LizuW3vXmetW3eFQINqr9gw079/f5lMJmVkZMjFxcX8uigFBQUymUw6d+5cqXYeFRWlyMhIBQUFqVOnTkpISFBGRoZGjRolSYqMjJQkvf/++5Kkxx57TPHx8YqKilJ0dLQuXryo6OhohYeH2/QtKgCobmJja1sEGUk6ftxZsbG1eRQBqr1iw8yGDRsk3TiLcuvrijJo0CCdO3dO8fHxyszMVMuWLZWYmGi+a/CpU6cs+t9xxx1at26dJk+erNDQULm6uuqRRx6x+jVuALidpKdb/3JqRoZN90YFDKnYMPPQQw8V+7oijBkzRmPGjLG6bOPGjYXa/Pz8tHbt2gqvAwCMzNs732q7l5f1dqA6sSmyx8XFmeeoAACqjpiYHPn65lm0+frmKSYmx0EVAZXH5jDTsWNHhYSEaM6cOTp58qS96gIA2MDHp0Dr1l1RRESuuna9roiIXCb/4rZhU5g5dOiQXn31VdWsWVPTp09Xu3bt9PDDD+v9999XZmamvWoEAJSCj0+BFi7M1oYNV7RwYTZBBrcNm8LMvffeq0mTJumrr77S/v37FRMTo+zsbEVHR6t169Z69NFHtWzZMnvVCgAAUEiZp7n7+PjohRde0NatW/XNN9/opZde0oEDB/TCCy9UZH0AAADFsvmp2b/1r3/9S2vWrNG6det06dIl3XnnnRVRFwAAQKmUKcwcOnRIa9eu1Zo1a/TTTz+pdu3a6tWrl15//XX17t27omsEAAAokk1hZsaMGVq7dq2OHj2qGjVqqEePHnrllVfUr18/8+MFAAAAKpNNYeatt97SQw89pEmTJiksLEyurq72qgsAAKBUbAozP/zwA89AAgAAVYpN32YiyAAAgKqm2DMzUVFRMplMmj17tpydnRUVFVXiBk0mk957770KKxAAAKA4xYaZlJQUOTk5KT8/X87OzkpJSZHJZCp2gyUtBwAAqEjFhplDhw4V+xoAAMDRbJozc/LkSWVnZxe5PDs7m4dPAgCASmVTmGnXrp0+/bMJ2WsAACAASURBVPTTIpd/9tlnateuXbmLAgAAKC2bwkxBQfFPYL1+/TpzZgAAQKWy+UGTRYWVixcv6ssvv+Tr2wAAoFKVGGZmzZqlhg0bqmHDhjKZTBo3bpz59a1/fH19tWrVKg0ePLgy6gYAAJBUijsABwUF6amnnpIkLVq0SD169FCzZs0s+phMJtWrV0+BgYEKCwuzT6UAAABWlBhmevXqpV69ekmSrly5olGjRqljx452LwwAAKA0bJozM2/ePIIMgCohLc2ksWPraPx4f40dW0dpaXz5wIi2b3dSQMAd6tEjUAEBd2j7dpuncgK2hZm3335bvXv3LnJ537599e6775a7KAAoTlqaSQMG1NOqVS7at6++Vq1y0YAB9Qg0BrN9u5PCw+/QTz856/LlGvrpJ2eFhxNoYDub/sWsWrWq2DMzHTt21Mcff1zuogCgOLGxtXX8uLNF2/HjzoqNre2gilAWEybU1fXrlgH0+nWTJkyo66CKYFQ2hZkTJ07Iz8+vyOXNmjVTWlpauYsCgOKkp1v/6MrI4Dd6I7lwoahbfXCGDbax6Se/Vq1aysjIKHJ5enq6nJz4MAFgX97e+Vbbvbyst6NqcnW1fiPWBg2Kv0Er8Fs2JY/g4GB9+OGHunjxYqFlFy5c0IcffqhOnTpVWHEAYE1MTI58ffMs2nx98xQTk+OgilAW8+f/qho1LINLjRoFmj//VwdVBKMq8avZt4qOjlbfvn3VpUsXTZgwQS1btpQkff/991qwYIGysrK0dOlSe9QJAGY+PgVat+6KYmNr69ixHDVtWlsxMTny8eE3eiPp0iVf69df1oQJdXXuXIEaNjRp/vxf1aULZ9hgG5vCTPv27fX3v/9dzz77rGJiYsyPNigoKFCTJk3097//XR06dLBLoQBwKx+fAi1cmK3U1NRi5/KhauvSJV8HD17mOKJcbAozktStWzd9++232r9/v06cOCFJ8vX1Vbt27XjIJAAAqHQ2hxnpxuML2rdvr/bt21d0PQAAADax+atH586dU2xsrHr37q2goCDt2bPH3B4XF6cjR45UeJEAUJXcvPtw//71uPswUAXYdGYmLS1Nffv21blz59SqVSsdP35c2dnZkqSGDRtqzZo1+uWXXxQfH2+XYgHA0W7effjWm/bt3eusdeuuMAEZcBCbzsxMnz5dBQUF2rVrl1atWqWCAssf3H79+mnLli0VWiAAVCXcfRioemwKM//85z81duxYNWnSxOpkXx8fH50+fbrCigOAqoa7DwNVj00/fVevXpWrq2uRyy9evMgdgAFUa9x9GKh6bEoeLVu21Pbt24tcvnHjRgUEBJS7KACoqrj7MFD12BRmJkyYoLVr1+rNN9/U+fPnJUn5+fn68ccfNWbMGO3du1dRUVF2KRQAqoKbdx+OiMhV167XFRGRy+RfwMFs+jZTRESETp06pRkzZmjGjBmSpMGDB0uSnJyc9Oqrr6pv374VXyUAVCE37z4MoGqw+aZ5zz//vCIiIpSUlKRjx44pPz9fvr6+evTRR9WkSRM7lAgAAFC0Mt0BuFGjRpo4cWJF1wIAAGAzvnoEAAAMrdgzMwEBAXJyctI333yjmjVrKiAgoFQPk6xRo4bc3NzUrVs3Pf/886pbt26FFQwAAHCrYsNMly5dZDKZzPeOufm6JHl5ecrMzNTs2bP1888/a968eRVTLQAAwG8UG2bmz59f7OuSxMXF6W9/+5vtVQEAAJRSmSYAl1b//v0LPb8JAGAsaWkmxcbWVnq6k7y98xUTk8N9dVCl2Bxmrl+/ro8++kibN2/WTz/9JElq3LixevfureHDh6tGjf9tsnXr1mrdunXFVQsAqFQ8JRxGYNO3mbKystSjRw8988wz2rZtm0wmk0wmk7Zt26ZnnnlG3bt315kzZ+xVKwCgkvGUcBiBTWFm8uTJOnLkiN59910dPXpUW7Zs0ZYtW3T06FHNmTNHP/74o6ZMmWKvWgEAlYynhMMIbLrM9OWXXyoyMlKPP/64Rbuzs7P++Mc/6vDhw1q+fHmFFggAFYF5H2XDU8JhBDaFGRcXF913331FLvfx8VGtWrXKXRQAVCTmfZRdTEyO9u51tnjveEo4qhqbzhMOGjRIq1ev1rVr1woty83N1erVqzVw4MAKKw4AKgLzPsqOp4TDCIo9M7Nv3z6L1+Hh4dqxY4d69Oih0aNHq2nTppKko0ePasmSJeY+tli0aJHmzJmjzMxMtWjRQjNnzlTnzp1LXG/nzp3q37+//P39tXPnTpv2CeD2wryP8uEp4ajqig0zv//97wvd8ffmfWNefPFF87Jb7yUTFhamc+fOlWrna9asUXR0tP7617/qgQce0KJFixQREaFdu3YVeznrwoULGj9+vLp166b09PRS7QvA7Yt5H0D1VmyYmTt3rl13PnfuXI0YMUIjR46UJMXHx+urr75SQkKCpk+fXuR6Tz/9tIYPH66CggIlJSXZtUYAxse8D6B6KzbMjBgxwm47zs3N1f79+zVp0iSL9tDQUO3evbvI9RYtWqSsrCy9/PLLeuONN+xWH4Dq4+a8j9jY2srIcJKXF99mAqoTuz7OoDhnz55VXl6e3N3dLdrd3d2LvPHed999p7i4OH3xxRdydna22sea1NTUctVa2dutSqr7GKv7+CTGeKvJk//399xcyUhvDcexemCMZePn51fscpvCTFRUVIl9TCaT3nvvPVs2WypXr17V6NGj9dprr6lJkyY2rVvSm1AWqampdtluVVLdx1jdxycxxuqCMVYPjNF+bAozKSkphSYE5+fnKyMjQ3l5ebr77rtVt27dUm3Lzc1Nzs7OysrKsmjPysqSh4dHof4ZGRk6cuSIoqKizKEqPz9fBQUFcnNz06pVqxQaGmrLcAAAQDVgU5g5dOiQ1fZr165pyZIlmj9/vtauXVuqbbm4uCgwMFDJyckaMGCAuT05OVlhYWGF+t9zzz3asWOHRdvixYuVnJysDz/8UI0bN7ZhJAAAoLqokDkzNWvW1Lhx43TkyBFNnjxZiYmJpVovKipKkZGRCgoKUqdOnZSQkKCMjAyNGjVKkhQZGSlJev/991WzZk21atXKYv27775btWrVKtQOAABuHxU6AbhNmzb6+9//Xur+gwYN0rlz5xQfH6/MzEy1bNlSiYmJ5rMsp06dqsjyAABANVShYSY5OVl16tSxaZ0xY8ZozJgxVpdt3Lix2HWnTp2qqVOn2rQ/AABQvdgUZuLi4qy2X7x4UTt27NCBAwf0/PPPV0hhAAAApWFTmJk1a5bVdldXV/n6+urtt982380XAACgMtgUZs6fP2+vOgAAAMqkXHNmtm7dqsTERGVkZMjf31/jx48v9gGRAAAAFc2ppA6zZs2St7e3fvnlF4v2FStWKDw8XB9++KG+/PJLzZs3T6Ghofrpp5/sViwAAMBvlRhmtm7dqtDQUN19993mtqtXr2rq1KmqX7++1q9fr1OnTikhIUGXL1/WW2+9ZdeCAQAAblVimDl27JgCAwMt2rZs2aJLly7pmWeeUUhIiOrVq6eBAwdqyJAh+uc//2mvWgEAAAopMcycP39eXl5eFm1bt26VyWRS7969LdoDAwOVkZFRsRUCAAAUo8Qw4+npqfT0dIu2nTt3qm7dumrRooXlxpyc5OLiUrEVAgAAFKPEMBMUFKSPPvpIFy5ckCT9+9//1rfffqtu3brJ2dnZou+RI0d077332qdSAAAAK0r8avaUKVPUrVs3BQUFqXnz5jp06JBMJpOee+45i34FBQX69NNPFRoaardiAQAAfqvEMzPNmzdXUlKSgoKC9Msvv6hTp05as2aNOnbsaNFv69atuuOOOxQWFma3YgEAAH6rVDfNCw4OVmJiYrF9QkJCtGPHjgopCgAAoLRKPDMDAABQlRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoTk8zCxatEgBAQHy9PRUt27dtGPHjiL7JiUlaeDAgWrWrJkaNWqknj17atOmTZVYLQAAqGocGmbWrFmj6Ohovfjii0pJSVFwcLAiIiJ08uRJq/23b9+ukJAQJSYmKiUlRb169dLjjz9ebAACAJReWppJY8fWUf/+9TR2bB2lpZkcXRJQohqO3PncuXM1YsQIjRw5UpIUHx+vr776SgkJCZo+fXqh/nFxcRavo6Oj9fnnn2vjxo3q3LlzpdQMANVVWppJAwbU0/Hjzua2vXudtW7dFfn4FDiwMqB4Djszk5ubq/379ys0NNSiPTQ0VLt37y71di5fvixXV9eKLg8AbjuxsbUtgowkHT/urNjY2g6qCCgdh52ZOXv2rPLy8uTu7m7R7u7urjNnzpRqGwsXLtTp06c1dOjQYvulpqaWuU5HbLcqqe5jrO7jkxhjdVEZYzx2zF+Si5X2nErZP8exerDHGP38/Ipd7tDLTOWxfv16TZs2TQkJCWrcuHGxfUt6E8oiNTXVLtutSqr7GKv7+CTGWF1U1hibNq2tffust9t7/xzH6sFRY3TYZSY3Nzc5OzsrKyvLoj0rK0seHh7Frrt+/XqNHz9eCxYsUN++fe1ZJgDcNmJicuTrm2fR5uubp5iYHAdVBJSOw8KMi4uLAgMDlZycbNGenJysTp06Fbne2rVrFRkZqXnz5ik8PNzeZQLAbcPHp0Dr1l1RRESuuna9roiIXCb/whAcepkpKipKkZGRCgoKUqdOnZSQkKCMjAyNGjVKkhQZGSlJev/99yVJq1evVmRkpF577TV17txZmZmZkm4Eo7vuussxgwCAasTHp0ALF2Y7ugzAJg4NM4MGDdK5c+cUHx+vzMxMtWzZUomJieY5MKdOnbLon5CQoOvXr2vq1KmaOnWqub1Lly7auHFjpdYOAACqBodPAB4zZozGjBljddlvAwqBBQAA/JbDH2cAAABQHoQZAABgaIQZAABgaIQZAABgaIQZAABgaIQZAABgaIQZAABgaIQZAABgaIQZAABgaIQZAABgaIQZAABgaIQZAABgaIQZAABgaIQZAABgaIQZAIaUlmbS2LF1NH68v8aOraO0NJOjSwLgIDUcXQAA2CotzaQBA+rp+HFnSS7at0/au9dZ69ZdkY9PgaPLA1DJODMDwHBiY2v/X5D5n+PHnRUbW9tBFQFwJMIMAMNJT7f+0ZWRwUcacDviJx+A4Xh751tt9/Ky3g6geiPMADCcmJgc+frmWbT5+uYpJibHQRUBcCTCDADD8fEp0Lp1VxQRkaugoP8qIiKXyb/AbYxvMwEwJB+fAi1cmK3U1FT5+fk5uhwADsSZGQCGxH1mANzEmRkAhsN9ZgDcijMzAAyH+8wAuBVhBoDhcJ8ZALfiJx+A4XCfGQC3IswAMBzuMwPgVoQZAIbDfWYA3IpvMwEwJO4zA+AmzswAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDI8wAAABDc3iYWbRokQICAuTp6alu3bppx44dxfbftm2bunXrJk9PT7Vr104JCQmVVCmAqiQoqJZcXe9Ux45BcnW9U0FBtRxdEgAHcWiYWbNmjaKjo/Xiiy8qJSVFwcHBioiI0MmTJ632P3HihIYMGaLg4GClpKTohRde0OTJk7V+/fpKrhyAIwUF1dLRo7V04yPMJMlJR4/WItAAtymHhpm5c+dqxIgRGjlypJo3b674+Hh5enoWebZlyZIl8vLyUnx8vJo3b66RI0dq+PDheu+99yq5cgCOdPSoi26EmFuZ/q8dwO2mhqN2nJubq/3792vSpEkW7aGhodq9e7fVdfbs2aPQ0FCLtp49e+qjjz7StWvXVLNmTavrpaamVkzRlbTdqqS6j7G6j0+qrmMMKqLdVE3HW12PoyXGWD3YY4x+fn7FLndYmDl79qzy8vLk7u5u0e7u7q4zZ85YXefMmTPq3r17of7Xr1/X2bNn5eXlZXW9kt6EskhNTbXLdquS6j7G6j4+qTqPsUCFz8zcaK+O462+x/F/GGP14KgxOnwCMADYqlmzXN0INLcq+L92ALcbh4UZNzc3OTs7Kysry6I9KytLHh4eVtfx8PCw2r9GjRpyc3OzW60AqpZ9+66qWbOrkvJ1I9Tkq1mzq9q376qDKwPgCA4LMy4uLgoMDFRycrJFe3Jysjp16mR1neDgYKv927dvX+R8GQDV0759V3XhwiV9880+XbhwiSAD3MYcepkpKipKK1eu1PLly3XkyBFNmTJFGRkZGjVqlCQpMjJSkZGR5v6jRo1Senq6oqOjdeTIES1fvlwrV67U008/7aghAAAAB3PYBGBJGjRokM6dO6f4+HhlZmaqZcuWSkxMVOPGjSVJp06dsujfpEkTJSYm6pVXXlFCQoK8vLwUFxen8PBwR5QPAACqAIeGGUkaM2aMxowZY3XZxo0bC7U99NBDSklJsXdZAADAIPg2EwAAMDTCDAAAMDTCDAAAMDTCDAAAMDTCDAAAMDTCDAAAMDTCDAAAMDTThQsXfvu0NgAAAMPgzAwAADA0wgwAADA0wgwAADA0wgwAADA0wgwAADA0wgwAADA0wowVS5cuVf/+/dW4cWO5uroqLS2tVOutX79enTp1koeHhzp16qQNGzZYLC8oKNDMmTPVokULeXl56ZFHHtEPP/xgjyGU6OrVq3r55ZfVtGlT3XPPPRo2bJh+/vnnYtdp27atXF1dC/0ZMmSIuc/MmTMLLff397f3cKwqyxhLU7/Rj+Nbb72lHj166L777lOzZs00dOhQff/99xZ9JkyYUOh9+P3vf2/PoZgtWrRIAQEB8vT0VLdu3bRjx45i+2/btk3dunWTp6en2rVrp4SEhHJv095sqScpKUkDBw5Us2bN1KhRI/Xs2VObNm2y6LNixQqrP5s5OTn2HkqRbBnj1q1brdb/448/WvQr6TO2stkyRms/U66urrrnnnvMfUr7PlSG7du3a9iwYWrZsqVcXV21YsWKEtf57rvv1K9fP3l5eally5aKi4tTQYHl3V/sdQwJM1b8+uuvCg0NVXR0dKnX2bNnj0aPHq2IiAht3bpVERERevLJJ7V3715zn9mzZ2vu3LmKi4vT119/LXd3dw0cOFCXLl2yxzCKNXXqVG3YsEGLFy/Wpk2bdOnSJQ0dOlR5eXlFrpOcnKwjR46Y/2zZskUmk0kDBgyw6Ofn52fRz1H/cZRljFLJ9Rv9OG7btk1PPfWUNm/erKSkJNWoUUMDBgzQ+fPnLfp1797d4n1YtWqVvYejNWvWKDo6Wi+++KJSUlIUHBysiIgInTx50mr/EydOaMiQIQoODlZKSopeeOEFTZ48WevXry/zNu3N1nq2b9+ukJAQJSYmKiUlRb169dLjjz9e6N9l3bp1LY7XkSNHVLt27coYUiFlfc937dplUX+zZs3My0rzGVuZbB3jrFmzCh2fJk2aFPr8lIp/HyrLlStX1KpVK82aNUt16tQpsf9///tfDRw4UB4eHvr66681a9Ysvfvuu3rvvffMfex5DLlpXjG+/fZb9ejRQwcOHJCPj0+xfUeNGqXz589r3bp15rbw8HDdfffdWrx4sQoKCtSiRQuNHTtWL730kiQpOztbfn5+eu211zRq1Ci7juVWFy9e1O9+9zvNnTvXfFbl1KlTatu2rT755BP17NmzVNt58803NWfOHB05csT8j33mzJlKSkrSzp077VZ/aZR1jCXVXx2P4+XLl9W4cWOtWLFCffv2lXTjt8hz587p73//u93qt6Znz55q3bq15syZY267//77FR4erunTpxfqP336dG3YsEH/+te/zG2TJk3S4cOH9cUXX5Rpm/ZWEfWEhobqwQcf1Ouvvy7pxpmZyZMnl3hWrrLYOsatW7fq0Ucf1dGjR+Xm5mZ1myV9xla28h7HXbt2qU+fPtq8ebM6deokqXTvgyPce++9euONN/SHP/yhyD6LFy/Wn//8Z/3444/m/w/i4+OVkJCg77//XiaTya7HkDMzFeSbb75RaGioRVvPnj21e/duSVJaWpoyMzMt+tSpU0edO3c296ks+/fv17Vr1yxqadSokZo3b17qWgoKCvTBBx9o6NChhVL7iRMn1KJFCwUEBGj06NE6ceJERZZfKuUZY3H1V7fjKN0IM/n5+XJ1dbVo37lzp373u98pKChIzzzzjLKysiqsdmtyc3O1f//+Qj9HoaGhRY5nz549Vn/uvv32W127dq1M27Sniqrn8uXLhY5Xdna22rRpo1atWmno0KE6cOBAhdRsq/KMsXv37mrevLnCwsKUkpJisaykz9jKVBHHcdmyZWrZsqU5yNyquPehqtqzZ48efPBBi/8PevbsqfT0dPNUDXseQ8JMBcnMzJS7u7tFm7u7u86cOWNefrOtqD6V5cyZM3J2di6U/G2pJTk5WWlpaXriiScs2jt06KB58+bpk08+0Zw5c5SZmamHH35Y586dq7D6S6OsYyyp/up2HCUpOjpabdu2VXBwsLnt97//vRYsWKD169crNjZW+/btU1hYmK5evVph9f/W2bNnlZeXZ9N7e+bMGav9r1+/rrNnz5Zpm/ZUEfUsXLhQp0+f1tChQ81tfn5+eu+997Ry5UotWrRItWrVUp8+fXT06NEKrb80yjJGLy8vvfXWW/rggw/0wQcfyM/PT+Hh4RaX0kr6jK1M5T2OFy9e1Lp16wp9fpbmfaiqivpZvLlMsu8xrFHuLRhEbGys3nzzzWL7bNiwQV27dq2kiipeacdYEZYtW6b7779fbdu2tWjv1auXxesOHTooMDBQK1eu1NNPP13u/dp7jPauvzQq8zi+8sor2rVrl/7xj3/I2dnZ3D548GDz31u3bq3AwEC1bdtWmzdvVlhYWIXsG7Zbv369pk2bpoSEBDVu3NjcHhwcbBFGO3XqpK5du+r999/XG2+84YhSbeLn5yc/Pz/z6+DgYP3000+aM2eOOnfu7MDK7CMxMVH5+fkaNmyYRfvt9j5UpNsmzEyYMMHiWzfWNGrUqMzb9/T0LHQaPisrSx4eHublN9vuu+8+q33Kq7Rj/Oabb5SXl6ezZ8/q7rvvtqjlwQcfLHE/WVlZ2rRpU4n/4UrSHXfcoRYtWujYsWMlD6AUKmuMN/22/up0HKdOnao1a9Zow4YNatKkSbF9vb29dc8991TYcbTGzc1Nzs7Oxf4c/ZaHh4fV/jVq1JCbm5sKCgps3qY9lWWMN61fv17jx4/XggULzHObiuLs7KzAwEC7Hq+ilGeMtwoKCtKaNWvMr0v6jK1M5R3jsmXLFBYWprvuuqvEvr99H6qqon4Wby6T7HsMb5vLTG5ubvL39y/2T926dcu8/Y4dOyo5OdmiLTk52Xw91MfHR56enhZ9cnJytHPnTqvXTMuitGMMDAxUzZo1LWr5+eefdeTIkVLVsnLlStWqVcvit/ei5OTkKDU11RwCyquyxlhU/dXlOE6ZMkWrV69WUlJSqb46f/bsWaWnp1fYcbTGxcVFgYGBxf4c/VZwcLDV/u3bt1fNmjXLtE17Kms9a9euVWRkpObNm6fw8PAS91NQUKDvvvvOrserKBX1nh86dMii/pI+YytTeca4b98+/fvf/y50iakov30fqqrg4GDt3LnT4nYAycnJ8vb2Nn+Bxp7H0Dk6OvrP5d5KNZOZmaljx44pNTVVGzZsUGhoqK5cuSIXFxfz5KawsDD9+OOP6t69u6Qbv7nOmDFDLi4ucnNz07Jly7RixQrNnj1b99xzj0wmk/Ly8vTOO++oWbNmysvL05/+9CdlZmbqnXfeUa1atSptfLVr11ZGRoYWLVqk1q1b6+LFi3r++edVv359vfrqq3JyupFxO3bsKOnGbwY3FRQUKCoqSr1797b6oRoTEyMXFxfl5+frP//5j15++WUdO3ZMb7/9tho0aFA5A1TZx1hS/dXhOL700kv6+OOPtXTpUjVq1EhXrlzRlStXJN34kL58+bL+8pe/6I477tD169d16NAhTZo0SXl5eYqPj7frGO+8807NnDlTXl5eql27tuLj47Vjxw699957atCggSIjI/Xpp5/q0UcflST5+vpq9uzZ5jNlmzZt0l//+lfFxsaqRYsWpdpmZbN1jKtXr9a4ceP06quv6uGHHzYfr2vXrpk/j2bNmqWrV6/KyclJP/30k1577TUlJyfrrbfesriPSVUd47x585SZmSlnZ2dlZmZq3rx5Wr58uWJjY9W8eXNJJX/GVvUx3jRz5kxduXLF/E20W5Xmfagsly9f1uHDh5WZmakPPvhArVq1Uv369ZWbm6sGDRro1Vdf1VtvvaXhw4dLkpo1a6YlS5bo0KFD8vPz086dOzVt2jQ999xz5rBiz2N421xmskVCQoLi4uLMr2+e8p87d675q2nHjx/Xvffea+7TqVMnJSQkKDY2VjNmzJCvr68SEhLUoUMHc59nn31W2dnZevnll3XhwgXz6cM777yzkkb2PzNnzpSzs7NGjRqlnJwchYSEaMGCBRbzJlJTU3X27FmL9bZu3aqjR4/qb3/7m9Xtnj59WmPGjDFf+ujQoYO++OILi+v7laUsYyxN/UY/N1HbngAABtVJREFUjosWLZKkQmF0ypQpmjp1qpydnfX999/r448/1sWLF+Xp6amuXbtqyZIldh/joEGDdO7cOcXHxyszM1MtW7ZUYmKi+f0/deqURf8mTZooMTFRr7zyihISEuTl5aW4uDiLsZW0zcpm6xgTEhJ0/fp1TZ06VVOnTjW3d+nSRRs3bpR0Y0Lps88+qzNnzqh+/foKCAjQpk2bLH4RqUy2jvHatWuaNm2aTp8+rdq1a5v7P/zww+Y+pfmMrUy2jlGSLl26pDVr1mjy5MlWt1ma96GyfPvttxZBbObMmZo5c6aGDx+u+fPnKyMjQ8ePHzcvb9CggdauXauXXnpJPXr0kKurq6KioizmGtrzGHKfGQAAYGi3zZwZAABQPRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAACAoRFmAFRJjzzyiB555BHDbBeA4xBmAFSYFStWyNXV1fzHzc1NrVq10sSJE3X69GlHl2fVr7/+qpkzZ2rr1q2OLgVAGXEHYAAVLjo6Wr6+vrp69ap27dqljz/+WNu3b9fOnTvL9Qy0irB27VqL19nZ2eY7fnft2tURJQEoJ8IMgArXs2dP8zOhnnjiCd11112aO3euNm3apMcee8whNf3666+qW7euXFxcHLJ/APbDZSYAdhcSEiJJSktLU15ent588021b99eHh4eatOmjaZNm6bs7OwSt/Puu++qT58+atq0qTw9PdW5c2ctX768UL+2bdtq8ODB2rJli3r27ClPT0/Nnj1bkuWcmbS0NDVr1kySFBcXZ748NmHCBCUnJ8vV1VVJSUmFtr9p0ya5urrqiy++KPN7AqDicGYGgN3dfCBdw4YN9dxzz+mDDz7Qo48+qqioKH377beaM2eOfvjhByUmJspk+v/t3T1Icm0cBvDrUFQSoX1gUoZDhZRBEA4tNkRkRFTSl0YWORT0BbVEEO0lVBBlFA2RRJyhcujLPaJwiaApkppyiMwlpaxneHjkPW/p8/IqfcD12zznPv9z63TxP/d9FKLWcTgcMBqNaG5uhiAI2N/fx8jICF5eXmCz2SRjr6+v0d3djZ6eHlitVqjV6nf1cnJyMDs7i7GxMTQ0NEj+jVuv1yMvLw+iKKKxsVFynSiKyM3NRXV1dbw/DRElAMMMESVcIBDA/f09gsEgTk9PMTMzA5lMhuLiYoyOjqKzsxNLS0uR8Wq1GtPT0zg6OkJdXV3Uuh6PR7Lmpr+/HyaTCQsLC+/CjNfrxebmJurr66PWS09PR1NTE8bGxqDT6dDR0SE5397eDofDAb/fD4VCEfluh4eHsNlskn8nJ6Kvw8dMRJRwLS0tKCwshE6ng81mg1KpxNbWFs7OzgAAg4ODkvEDAwNISkqC2+2OWfdPkHl+fsbDwwPu7+9hMBjg9Xrx+PgoGZufnx8zyPwXFosFoVBIsmjY5XIhGAy+Cz5E9HXYmSGihJuenoZWq0VqairUajXUajUEQcDu7i4EQUBRUZFkvFwuh0qlwu3tbcy6e3t7sNvtuLi4QDgclpwLBAKQy+WRzxqNJu7vodVqUVFRAVEU0dvbC+D3I6aSkhKUl5fHXZ+IEoNhhogSrqKiIrKbKVFOTk7Q1dWFyspKzM3NQaVSISUlBW63G0tLS3h9fZWMl8lkCbmv2WzG+Pg4bm5ukJycjOPjY0xNTSWkNhElBsMMEX2agoICvL294erqCjqdLnI8EAjg7u4ORqMx6rUulwtpaWnY2dlBWlpa5Hi8L7uLteAYAFpbWzE5OQlRFCPbutva2uK6JxElFtfMENGnqa2tBfB7V9I/LS8vIxwOxwwzSUlJEARB0oHx+/1wOp1xzelPB8fv9394PisrC7W1tRBFEaIowmAwID8/P657ElFisTNDRJ+mrKwMVqsVGxsbCAQCqKqqwvn5OZxOJ2pqaiJh5yN1dXVYXFyEyWRCR0cHHh4esL6+DqVSCZ/P97/nJJPJUFJSgu3tbRQVFSErKwsajQZ6vT4yxmw2o6urCwAku7CI6HtgmCGiTzU/Pw+NRgOn04mDgwMolUoMDw9jYmIi5iMfg8EAh8OBubk5TExMIC8vD319fVAoFBgaGoprTgsLCxgfH8fk5CRCoRAsFoskzBiNRmRnZ+Pp6endO2eI6OsJfr//7asnQUT0nYXDYZSWlqKqqgqrq6tfPR0i+heumSEi+ouDgwP4fD5YLJavngoRfYCdGSKiKDweDy4vL2G325GRkYHj4+O/7n4ios/HzgwRURRra2sYHR1FZmYmVlZWGGSIvil2ZoiIiOhHY2eGiIiIfjSGGSIiIvrRGGaIiIjoR2OYISIioh+NYYaIiIh+tF+cM0LrXqZqaQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xff3Z_ottZEQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c2623e2e-66cb-4746-c8b1-4274808de6b6"
      },
      "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)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "43.3"
            ]
          },
          "metadata": {},
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "biYFESuDud6H",
        "outputId": "e810297d-d661-49e3-b931-9bb0aaec5a9f"
      },
      "source": [
        "# Get the percentage of negative tweets\n",
        "ntweets = df[df.Analysis == 'Negative']\n",
        "ntweets = ntweets['Tweets']\n",
        "round( (ntweets.shape[0]/ df.shape[0]) *100,1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.3"
            ]
          },
          "metadata": {},
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 374
        },
        "id": "1MlwdFF3u4Ve",
        "outputId": "b1cd2118-3e58-4a37-d54c-b5855006cdf4"
      },
      "source": [
        "# Show the value counts\n",
        "\n",
        "df['Analysis'].value_counts()\n",
        "\n",
        "# plot and visualize the counts\n",
        "plt.title('Sentiment Analysis')\n",
        "plt.xlabel('Sentiment')\n",
        "plt.ylabel('Counts')\n",
        "df['Analysis'].value_counts().plot(kind='bar')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}