Customer_sentiment_analysis.ipynb

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        "<a href=\"https://colab.research.google.com/github/pari1jay/Customer-sentiment-Analysis/blob/main/Customer_sentiment_analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "Connect Colab with Google Drive"
      ],
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        "id": "1L0lZDmJKbwl"
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        "from google.colab import drive\n",
        "drive.mount(\"/content/gdrive\")"
      ],
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        },
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          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
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    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from wordcloud import WordCloud, STOPWORDS"
      ],
      "metadata": {
        "id": "zMnohYEnKiWl"
      },
      "execution_count": 4,
      "outputs": []
    },
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      "source": [
        "     \n",
        "Reading consumer complaints dataset"
      ],
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        "id": "KMwh98QiKhgs"
      }
    },
    {
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      "source": [
        "df= pd.read_csv('/content/gdrive/My Drive/Colab Notebooks/consumer_complaints.csv')\n",
        "df.head()"
      ],
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      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
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          "text": [
            "<ipython-input-5-27f3c2579aa0>:1: DtypeWarning: Columns (5,11) have mixed types. Specify dtype option on import or set low_memory=False.\n",
            "  df= pd.read_csv('/content/gdrive/My Drive/Colab Notebooks/consumer_complaints.csv')\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  date_received           product               sub_product  \\\n",
              "0    08/30/2013          Mortgage            Other mortgage   \n",
              "1    08/30/2013          Mortgage            Other mortgage   \n",
              "2    08/30/2013  Credit reporting                       NaN   \n",
              "3    08/30/2013      Student loan  Non-federal student loan   \n",
              "4    08/30/2013   Debt collection               Credit card   \n",
              "\n",
              "                                      issue  \\\n",
              "0  Loan modification,collection,foreclosure   \n",
              "1  Loan servicing, payments, escrow account   \n",
              "2    Incorrect information on credit report   \n",
              "3                        Repaying your loan   \n",
              "4        False statements or representation   \n",
              "\n",
              "                           sub_issue consumer_complaint_narrative  \\\n",
              "0                                NaN                          NaN   \n",
              "1                                NaN                          NaN   \n",
              "2                     Account status                          NaN   \n",
              "3                 Repaying your loan                          NaN   \n",
              "4  Attempted to collect wrong amount                          NaN   \n",
              "\n",
              "  company_public_response                          company state zipcode tags  \\\n",
              "0                     NaN                     U.S. Bancorp    CA   95993  NaN   \n",
              "1                     NaN            Wells Fargo & Company    CA   91104  NaN   \n",
              "2                     NaN            Wells Fargo & Company    NY   11764  NaN   \n",
              "3                     NaN          Navient Solutions, Inc.    MD   21402  NaN   \n",
              "4                     NaN  Resurgent Capital Services L.P.    GA   30106  NaN   \n",
              "\n",
              "  consumer_consent_provided submitted_via date_sent_to_company  \\\n",
              "0                       NaN      Referral           09/03/2013   \n",
              "1                       NaN      Referral           09/03/2013   \n",
              "2                       NaN   Postal mail           09/18/2013   \n",
              "3                       NaN         Email           08/30/2013   \n",
              "4                       NaN           Web           08/30/2013   \n",
              "\n",
              "  company_response_to_consumer timely_response consumer_disputed?  \\\n",
              "0      Closed with explanation             Yes                Yes   \n",
              "1      Closed with explanation             Yes                Yes   \n",
              "2      Closed with explanation             Yes                 No   \n",
              "3      Closed with explanation             Yes                Yes   \n",
              "4      Closed with explanation             Yes                Yes   \n",
              "\n",
              "   complaint_id  \n",
              "0        511074  \n",
              "1        511080  \n",
              "2        510473  \n",
              "3        510326  \n",
              "4        511067  "
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              "      <td>08/30/2013</td>\n",
              "      <td>Mortgage</td>\n",
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              "    <tr>\n",
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              "      <td>08/30/2013</td>\n",
              "      <td>Student loan</td>\n",
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              "      <td>Repaying your loan</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Navient Solutions, Inc.</td>\n",
              "      <td>MD</td>\n",
              "      <td>21402</td>\n",
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            "text/plain": [
              "product\n",
              "Mortgage                   186475\n",
              "Debt collection            101052\n",
              "Credit reporting            91854\n",
              "Credit card                 66468\n",
              "Bank account or service     62563\n",
              "Consumer Loan               20990\n",
              "Student loan                15839\n",
              "Payday loan                  3877\n",
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              "        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>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>product</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Mortgage</th>\n",
              "      <td>186475</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Debt collection</th>\n",
              "      <td>101052</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Credit reporting</th>\n",
              "      <td>91854</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Credit card</th>\n",
              "      <td>66468</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bank account or service</th>\n",
              "      <td>62563</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Consumer Loan</th>\n",
              "      <td>20990</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Student loan</th>\n",
              "      <td>15839</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Payday loan</th>\n",
              "      <td>3877</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Money transfers</th>\n",
              "      <td>3812</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Prepaid card</th>\n",
              "      <td>2470</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other financial service</th>\n",
              "      <td>557</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cr= df['company_response_to_consumer'].value_counts()\n",
        "cr"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 366
        },
        "id": "n9wnXGAwKqwl",
        "outputId": "8c24f715-ba5c-43de-fdc1-2176b9f0e3e1"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "company_response_to_consumer\n",
              "Closed with explanation            404293\n",
              "Closed with non-monetary relief     70237\n",
              "Closed with monetary relief         38262\n",
              "Closed without relief               17909\n",
              "Closed                              13399\n",
              "Closed with relief                   5305\n",
              "In progress                          3763\n",
              "Untimely response                    2789\n",
              "Name: count, dtype: int64"
            ],
            "text/html": [
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>company_response_to_consumer</th>\n",
              "      <th></th>\n",
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              "      <th>Closed with explanation</th>\n",
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              "      <th>Closed with non-monetary relief</th>\n",
              "      <td>70237</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Closed with monetary relief</th>\n",
              "      <td>38262</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Closed without relief</th>\n",
              "      <td>17909</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Closed</th>\n",
              "      <td>13399</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Closed with relief</th>\n",
              "      <td>5305</td>\n",
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              "    <tr>\n",
              "      <th>In progress</th>\n",
              "      <td>3763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Untimely response</th>\n",
              "      <td>2789</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "disputed = df['consumer_disputed?'].value_counts()\n",
        "tdispute = df['company'].loc[df['consumer_disputed?'] == 'Yes'].value_counts()[:10]\n",
        "tnodispute = df['company'].loc[df['consumer_disputed?'] == 'No'].value_counts()[:10]"
      ],
      "metadata": {
        "id": "HLjZ6Oj0KsyE"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "disputed"
      ],
      "metadata": {
        "colab": {
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        },
        "id": "aZ5vrXU5Kx20",
        "outputId": "e30c6a8f-a684-40ea-ac8c-7bffcde9637d"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "consumer_disputed?\n",
              "No     443823\n",
              "Yes    112134\n",
              "Name: count, dtype: int64"
            ],
            "text/html": [
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              "      <th></th>\n",
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              "      <th>No</th>\n",
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              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tdispute"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
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        "id": "1nvat2F8K11V",
        "outputId": "f4c12610-ba74-4c85-8070-98e6396120d9"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "company\n",
              "Bank of America                           12480\n",
              "Wells Fargo & Company                      9644\n",
              "JPMorgan Chase & Co.                       7716\n",
              "Equifax                                    6647\n",
              "Citibank                                   5245\n",
              "Ocwen                                      5067\n",
              "Experian                                   3891\n",
              "TransUnion Intermediate Holdings, Inc.     3824\n",
              "Nationstar Mortgage                        3157\n",
              "Capital One                                2935\n",
              "Name: count, dtype: int64"
            ],
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              "    <tr>\n",
              "      <th>company</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Bank of America</th>\n",
              "      <td>12480</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wells Fargo &amp; Company</th>\n",
              "      <td>9644</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>JPMorgan Chase &amp; Co.</th>\n",
              "      <td>7716</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Equifax</th>\n",
              "      <td>6647</td>\n",
              "    </tr>\n",
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              "      <th>Citibank</th>\n",
              "      <td>5245</td>\n",
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              "      <th>Ocwen</th>\n",
              "      <td>5067</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Experian</th>\n",
              "      <td>3891</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TransUnion Intermediate Holdings, Inc.</th>\n",
              "      <td>3824</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nationstar Mortgage</th>\n",
              "      <td>3157</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Capital One</th>\n",
              "      <td>2935</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
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          "metadata": {},
          "execution_count": 10
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    {
      "cell_type": "code",
      "source": [
        "tnodispute"
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      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "company\n",
              "Bank of America                           43518\n",
              "Wells Fargo & Company                     32380\n",
              "Experian                                  27014\n",
              "JPMorgan Chase & Co.                      26165\n",
              "Equifax                                   25181\n",
              "TransUnion Intermediate Holdings, Inc.    21710\n",
              "Citibank                                  20295\n",
              "Ocwen                                     15911\n",
              "Capital One                               12693\n",
              "Nationstar Mortgage                       10093\n",
              "Name: count, dtype: int64"
            ],
            "text/html": [
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              "      <th>company</th>\n",
              "      <th></th>\n",
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              "      <th>Bank of America</th>\n",
              "      <td>43518</td>\n",
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              "    <tr>\n",
              "      <th>Wells Fargo &amp; Company</th>\n",
              "      <td>32380</td>\n",
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              "    <tr>\n",
              "      <th>Experian</th>\n",
              "      <td>27014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>JPMorgan Chase &amp; Co.</th>\n",
              "      <td>26165</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Equifax</th>\n",
              "      <td>25181</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TransUnion Intermediate Holdings, Inc.</th>\n",
              "      <td>21710</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Citibank</th>\n",
              "      <td>20295</td>\n",
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              "      <th>Ocwen</th>\n",
              "      <td>15911</td>\n",
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              "    <tr>\n",
              "      <th>Capital One</th>\n",
              "      <td>12693</td>\n",
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              "    <tr>\n",
              "      <th>Nationstar Mortgage</th>\n",
              "      <td>10093</td>\n",
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          },
          "metadata": {},
          "execution_count": 11
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    },
    {
      "cell_type": "code",
      "source": [
        "disputes_issue = df['issue'].loc[df['consumer_disputed?'] == 'Yes']\n",
        "word_cloud = WordCloud(width = 800,\n",
        "                       height = 600,\n",
        "                       colormap = 'inferno',\n",
        "                       margin = 0,\n",
        "                       max_words = 2000,\n",
        "                       max_font_size = 80,\n",
        "                       background_color = \"black\").generate(str(disputes_issue))\n",
        "\n",
        "plt.figure(figsize = (10, 15))\n",
        "plt.imshow(word_cloud, interpolation = \"gaussian\")\n",
        "plt.axis(\"off\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "id": "NVFvcytEK6AF",
        "outputId": "e5ba20de-9e96-487e-d111-6413e310b97f"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "\n",
        "\n",
        "df['issue'] = df['issue'].str.strip().str.lower()"
      ],
      "metadata": {
        "id": "DNDtNRETK9iN"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Encode labels"
      ],
      "metadata": {
        "id": "WbiJTnxEOCVx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "from sklearn import preprocessing\n",
        "\n",
        "# label_encoder object knows how to understand word labels.\n",
        "label_encoder = preprocessing.LabelEncoder()\n",
        "\n",
        "# Encode labels in column.\n",
        "df['consumer_disputed']= label_encoder.fit_transform(df['consumer_disputed?'])\n",
        "\n",
        "df['consumer_disputed'].unique()\n",
        "# YES = 1\n",
        "# No = 0\n",
        ""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YepzFc6AOBRo",
        "outputId": "2930738a-f2b0-4fbf-bb07-7ab79aef3379"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 808
        },
        "id": "WLofTrQ9Ohjw",
        "outputId": "d34cb403-032c-4b53-c45b-0d41d2935323"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       date_received           product                  sub_product  \\\n",
              "0         08/30/2013          Mortgage               Other mortgage   \n",
              "1         08/30/2013          Mortgage               Other mortgage   \n",
              "2         08/30/2013  Credit reporting                          NaN   \n",
              "3         08/30/2013      Student loan     Non-federal student loan   \n",
              "4         08/30/2013   Debt collection                  Credit card   \n",
              "...              ...               ...                          ...   \n",
              "555952    07/01/2014          Mortgage               Other mortgage   \n",
              "555953    07/01/2014          Mortgage               Other mortgage   \n",
              "555954    07/10/2012          Mortgage  Conventional fixed mortgage   \n",
              "555955    04/14/2015   Debt collection                I do not know   \n",
              "555956    08/14/2014   Debt collection                I do not know   \n",
              "\n",
              "                                           issue  \\\n",
              "0       loan modification,collection,foreclosure   \n",
              "1       loan servicing, payments, escrow account   \n",
              "2         incorrect information on credit report   \n",
              "3                             repaying your loan   \n",
              "4             false statements or representation   \n",
              "...                                          ...   \n",
              "555952  loan modification,collection,foreclosure   \n",
              "555953  loan servicing, payments, escrow account   \n",
              "555954  loan modification,collection,foreclosure   \n",
              "555955                     communication tactics   \n",
              "555956     cont'd attempts collect debt not owed   \n",
              "\n",
              "                                sub_issue consumer_complaint_narrative  \\\n",
              "0                                     NaN                          NaN   \n",
              "1                                     NaN                          NaN   \n",
              "2                          Account status                          NaN   \n",
              "3                      Repaying your loan                          NaN   \n",
              "4       Attempted to collect wrong amount                          NaN   \n",
              "...                                   ...                          ...   \n",
              "555952                                NaN                          NaN   \n",
              "555953                                NaN                          NaN   \n",
              "555954                                NaN                          NaN   \n",
              "555955         Frequent or repeated calls                          NaN   \n",
              "555956                   Debt is not mine                          NaN   \n",
              "\n",
              "       company_public_response                          company state zipcode  \\\n",
              "0                          NaN                     U.S. Bancorp    CA   95993   \n",
              "1                          NaN            Wells Fargo & Company    CA   91104   \n",
              "2                          NaN            Wells Fargo & Company    NY   11764   \n",
              "3                          NaN          Navient Solutions, Inc.    MD   21402   \n",
              "4                          NaN  Resurgent Capital Services L.P.    GA   30106   \n",
              "...                        ...                              ...   ...     ...   \n",
              "555952                     NaN                  Bank of America   NaN     NaN   \n",
              "555953                     NaN     Residential Credit Solutions   NaN     NaN   \n",
              "555954                     NaN                   BB&T Financial   NaN     NaN   \n",
              "555955                     NaN            Global Recovery Group   NaN     NaN   \n",
              "555956                     NaN     CCS Financial Services, Inc.   NaN     NaN   \n",
              "\n",
              "                                 tags consumer_consent_provided submitted_via  \\\n",
              "0                                 NaN                       NaN      Referral   \n",
              "1                                 NaN                       NaN      Referral   \n",
              "2                                 NaN                       NaN   Postal mail   \n",
              "3                                 NaN                       NaN         Email   \n",
              "4                                 NaN                       NaN           Web   \n",
              "...                               ...                       ...           ...   \n",
              "555952                            NaN                       NaN      Referral   \n",
              "555953  Older American, Servicemember                       NaN      Referral   \n",
              "555954                            NaN                       NaN         Phone   \n",
              "555955                            NaN                       NaN         Phone   \n",
              "555956                            NaN                       NaN         Phone   \n",
              "\n",
              "       date_sent_to_company company_response_to_consumer timely_response  \\\n",
              "0                09/03/2013      Closed with explanation             Yes   \n",
              "1                09/03/2013      Closed with explanation             Yes   \n",
              "2                09/18/2013      Closed with explanation             Yes   \n",
              "3                08/30/2013      Closed with explanation             Yes   \n",
              "4                08/30/2013      Closed with explanation             Yes   \n",
              "...                     ...                          ...             ...   \n",
              "555952           07/07/2014      Closed with explanation             Yes   \n",
              "555953           07/23/2014      Closed with explanation              No   \n",
              "555954           11/18/2013      Closed with explanation             Yes   \n",
              "555955           04/14/2015            Untimely response              No   \n",
              "555956           08/18/2014      Closed with explanation             Yes   \n",
              "\n",
              "       consumer_disputed?  complaint_id  consumer_disputed  \n",
              "0                     Yes        511074                  1  \n",
              "1                     Yes        511080                  1  \n",
              "2                      No        510473                  0  \n",
              "3                     Yes        510326                  1  \n",
              "4                     Yes        511067                  1  \n",
              "...                   ...           ...                ...  \n",
              "555952                 No        919529                  0  \n",
              "555953                 No        918447                  0  \n",
              "555954                 No        114550                  0  \n",
              "555955                 No       1329963                  0  \n",
              "555956                 No        984116                  0  \n",
              "\n",
              "[555957 rows x 19 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5616be09-5fed-460a-818b-fda28d581f17\" 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",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date_received</th>\n",
              "      <th>product</th>\n",
              "      <th>sub_product</th>\n",
              "      <th>issue</th>\n",
              "      <th>sub_issue</th>\n",
              "      <th>consumer_complaint_narrative</th>\n",
              "      <th>company_public_response</th>\n",
              "      <th>company</th>\n",
              "      <th>state</th>\n",
              "      <th>zipcode</th>\n",
              "      <th>tags</th>\n",
              "      <th>consumer_consent_provided</th>\n",
              "      <th>submitted_via</th>\n",
              "      <th>date_sent_to_company</th>\n",
              "      <th>company_response_to_consumer</th>\n",
              "      <th>timely_response</th>\n",
              "      <th>consumer_disputed?</th>\n",
              "      <th>complaint_id</th>\n",
              "      <th>consumer_disputed</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>08/30/2013</td>\n",
              "      <td>Mortgage</td>\n",
              "      <td>Other mortgage</td>\n",
              "      <td>loan modification,collection,foreclosure</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>U.S. Bancorp</td>\n",
              "      <td>CA</td>\n",
              "      <td>95993</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Referral</td>\n",
              "      <td>09/03/2013</td>\n",
              "      <td>Closed with explanation</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>511074</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>08/30/2013</td>\n",
              "      <td>Mortgage</td>\n",
              "      <td>Other mortgage</td>\n",
              "      <td>loan servicing, payments, escrow account</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Wells Fargo &amp; Company</td>\n",
              "      <td>CA</td>\n",
              "      <td>91104</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Referral</td>\n",
              "      <td>09/03/2013</td>\n",
              "      <td>Closed with explanation</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>511080</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>08/30/2013</td>\n",
              "      <td>Credit reporting</td>\n",
              "      <td>NaN</td>\n",
              "      <td>incorrect information on credit report</td>\n",
              "      <td>Account status</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Wells Fargo &amp; Company</td>\n",
              "      <td>NY</td>\n",
              "      <td>11764</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Postal mail</td>\n",
              "      <td>09/18/2013</td>\n",
              "      <td>Closed with explanation</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>510473</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>08/30/2013</td>\n",
              "      <td>Student loan</td>\n",
              "      <td>Non-federal student loan</td>\n",
              "      <td>repaying your loan</td>\n",
              "      <td>Repaying your loan</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Navient Solutions, Inc.</td>\n",
              "      <td>MD</td>\n",
              "      <td>21402</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Email</td>\n",
              "      <td>08/30/2013</td>\n",
              "      <td>Closed with explanation</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>510326</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>08/30/2013</td>\n",
              "      <td>Debt collection</td>\n",
              "      <td>Credit card</td>\n",
              "      <td>false statements or representation</td>\n",
              "      <td>Attempted to collect wrong amount</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Resurgent Capital Services L.P.</td>\n",
              "      <td>GA</td>\n",
              "      <td>30106</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Web</td>\n",
              "      <td>08/30/2013</td>\n",
              "      <td>Closed with explanation</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>511067</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>555952</th>\n",
              "      <td>07/01/2014</td>\n",
              "      <td>Mortgage</td>\n",
              "      <td>Other mortgage</td>\n",
              "      <td>loan modification,collection,foreclosure</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Bank of America</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Referral</td>\n",
              "      <td>07/07/2014</td>\n",
              "      <td>Closed with explanation</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>919529</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>555953</th>\n",
              "      <td>07/01/2014</td>\n",
              "      <td>Mortgage</td>\n",
              "      <td>Other mortgage</td>\n",
              "      <td>loan servicing, payments, escrow account</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Residential Credit Solutions</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Older American, Servicemember</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Referral</td>\n",
              "      <td>07/23/2014</td>\n",
              "      <td>Closed with explanation</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>918447</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>555954</th>\n",
              "      <td>07/10/2012</td>\n",
              "      <td>Mortgage</td>\n",
              "      <td>Conventional fixed mortgage</td>\n",
              "      <td>loan modification,collection,foreclosure</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>BB&amp;T Financial</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Phone</td>\n",
              "      <td>11/18/2013</td>\n",
              "      <td>Closed with explanation</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>114550</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>555955</th>\n",
              "      <td>04/14/2015</td>\n",
              "      <td>Debt collection</td>\n",
              "      <td>I do not know</td>\n",
              "      <td>communication tactics</td>\n",
              "      <td>Frequent or repeated calls</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Global Recovery Group</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Phone</td>\n",
              "      <td>04/14/2015</td>\n",
              "      <td>Untimely response</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>1329963</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>555956</th>\n",
              "      <td>08/14/2014</td>\n",
              "      <td>Debt collection</td>\n",
              "      <td>I do not know</td>\n",
              "      <td>cont'd attempts collect debt not owed</td>\n",
              "      <td>Debt is not mine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>CCS Financial Services, Inc.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Phone</td>\n",
              "      <td>08/18/2014</td>\n",
              "      <td>Closed with explanation</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>984116</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>555957 rows × 19 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
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              "                                                    [key], {});\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "\n",
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              "      border-color: transparent;\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
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              "\n",
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              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df"
            }
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Dividing dataset into test and train set"
      ],
      "metadata": {
        "id": "D37yB-cwK-Pt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x = df['issue']\n",
        "y = df['consumer_disputed']\n",
        "x, x_test, y, y_test = train_test_split(x,y, stratify=y, test_size=0.25, random_state=42)"
      ],
      "metadata": {
        "id": "kFQNfjFxLG79"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Vectorize text reviews to numbers"
      ],
      "metadata": {
        "id": "dhuiQVSTLHs9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "vec = CountVectorizer(stop_words='english')\n",
        "x = vec.fit_transform(x).toarray()\n",
        "x_test = vec.transform(x_test).toarray()"
      ],
      "metadata": {
        "id": "8eqmilOYLJQt"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Navie Bayes"
      ],
      "metadata": {
        "id": "efZB4E9ELJj0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.naive_bayes import MultinomialNB\n",
        "model = MultinomialNB()\n",
        "model.fit(x, y)\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "id": "N4CmyxHaLKAt",
        "outputId": "f0951874-097f-440f-9009-242777029870"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MultinomialNB()"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-1 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-1 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-1 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-1 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>MultinomialNB()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>MultinomialNB</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.naive_bayes.MultinomialNB.html\">?<span>Documentation for MultinomialNB</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>MultinomialNB()</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.score(x_test, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wcWMY1bJOnrv",
        "outputId": "d334c09f-1dbd-4646-9b76-e096503debb5"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.7866393265702568"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.predict(vec.transform(['Communication tactics']))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Dj2t3EVALMJd",
        "outputId": "c6c808e3-2e95-496b-f70f-d111e4076ce9"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0])"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Decision Tree"
      ],
      "metadata": {
        "id": "iafhlStcLcsV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.tree import DecisionTreeClassifier\n",
        "dct = DecisionTreeClassifier(criterion='entropy', random_state=1)\n"
      ],
      "metadata": {
        "id": "qEkVMNspLc99"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dct.fit(x,y)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "id": "Vf2eTBdGO5L4",
        "outputId": "cf993bb5-640f-427c-f75d-d08c3e667e07"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(criterion='entropy', random_state=1)"
            ],
            "text/html": [
              "<style>#sk-container-id-2 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-2 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-2 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-2 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-2 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-2 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-2 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-2 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-2 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-2 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-2 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-2 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;, random_state=1)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>DecisionTreeClassifier</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.tree.DecisionTreeClassifier.html\">?<span>Documentation for DecisionTreeClassifier</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;, random_state=1)</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dct.score(x_test,y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VM4VYVsDO8L4",
        "outputId": "095c264a-49bb-41ca-b401-9eabdb158bc5"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.7983020361177063"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dct.predict(vec.transform(['Managing the loan or lease']))\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IUG55Wa2Ln59",
        "outputId": "1a2352bd-2f7a-4cf1-d508-710b7610f2fe"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0])"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "KNN"
      ],
      "metadata": {
        "id": "eR_DwVUlLdL9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.metrics import accuracy_score"
      ],
      "metadata": {
        "id": "2WD1R14WLdiN"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model1 = KNeighborsClassifier(n_neighbors=2)\n",
        "model1.fit(x,y)\n",
        "\n",
        "y_pred = model1.predict(x_test)\n",
        "\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "print('Accuracy',accuracy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZIkNpTNLPHrA",
        "outputId": "dbedc294-411a-4d71-936b-e59aa905b148"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy 0.789358946686812\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Accuracy of ML Algorithms"
      ],
      "metadata": {
        "id": "cF8ilyiGPMmx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "a = model.score(x_test, y_test)\n",
        "b = dct.score(x_test,y_test)\n",
        "c = accuracy\n",
        "print(\"Navie Bayes Accuracy = \",a)\n",
        "print(\"Decision Tree Accuracy = \",b)\n",
        "print(\"KNN Accuracy = \",c)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zbJH9VjMLyS9",
        "outputId": "6a27e268-e58a-4a90-b568-382d0646a291"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Navie Bayes Accuracy =  0.7866393265702568\n",
            "Decision Tree Accuracy =  0.7983020361177063\n",
            "KNN Accuracy =  0.789358946686812\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = {\"Navie Bayes\":a, \"Decision Tree\":b,\"KNN\":c}\n",
        "ML = list(data.keys())\n",
        "Accuracy = list(data.values())\n",
        "\n",
        "fig = plt.figure(figsize = (10,5))\n",
        "\n",
        "plt.bar(ML, Accuracy, color = \"blue\", width = 0.5)\n",
        "\n",
        "plt.xlabel(\"ML Algorithms\")\n",
        "plt.ylabel(\"Accuracy\")\n",
        "plt.title(\"Accuracy of different ML algorithms\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "WIEYOcVEL1gl",
        "outputId": "0a105459-9df0-4970-c182-6b1eb0a5a1a3"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A pie chart depicting the percentage of positive, negative, and neutral sentiments."
      ],
      "metadata": {
        "id": "CtJ1RMaApcZh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "sentiment_counts = ['Positive', 'Negative', 'Neutral']\n",
        "sentiment_values = [70, 15, 15]  # Example data\n",
        "\n",
        "plt.pie(sentiment_values, labels=sentiment_counts, autopct='%1.1f%%', startangle=140)\n",
        "plt.title('Sentiment Distribution')\n",
        "plt.axis('equal')  # Equal aspect ratio ensures pie chart is circular.\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 435
        },
        "id": "7yZSj5jXpXu5",
        "outputId": "1427de65-49e2-40e9-df68-bb462fbfa827"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "line graph of sentiment score (positive/negative) over a specific time range"
      ],
      "metadata": {
        "id": "GNzLdl4apfuq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "# Sample data (date and sentiment score)\n",
        "data = {'Date': ['2025-01-01', '2025-01-02', '2025-01-03', '2025-01-04'],\n",
        "        'Sentiment': [0.8, -0.2, 0.6, -0.4]}\n",
        "df = pd.DataFrame(data)\n",
        "df['Date'] = pd.to_datetime(df['Date'])\n",
        "\n",
        "plt.plot(df['Date'], df['Sentiment'], marker='o', color='b')\n",
        "plt.title('Sentiment Over Time')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Sentiment Score')\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "Cl95dndLpbUx",
        "outputId": "03b5660e-58d4-43c4-89b5-828feafa1066"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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p9O7dm8jISBo0aMCcOXMIDQ1l/vz5uW6/YcMGrrvuOh544AFq1KhB+/btuf/++y94NsoT0tJg4ECwrJyPZawbNAhdkhMREfEyAXYHcFZycjKbN28mOjo6c52fnx9t27Zl48aNuT6nZcuWvP7662zatIlrrrmGX3/9lWXLlvHwww+f93WSkpJISkrK/D4xMREwMyOnpKTkO/+6dQ5+//38zW1ZcOAArFmTSuvWuVRUxVhGuxek/YsTtZfz1FbOU1s5T23lPE+2lTv36TPF0rFjx0hLSyM8PDzb+vDwcHbt2pXrcx544AGOHTvG9ddfj2VZpKam0rdv3zwvw8XHxxMXF5dj/cqVKwkNDc13/vXrqwHNLrjd8uXbOHPmYL5fpyhLSEiwO4JPUXs5T23lPLWV89RWzvNEW509e9Zt+/KZYik/1q5dy8SJE5k9ezbNmzdn9+7dDBw4kHHjxjFq1KhcnxMdHU1UVFTm94mJiURERNC+fXvCwsLynaVkSQfTpl14u1tuaULr1o3z/TpFUUpKCgkJCbRr147AwEC743g9tZfz1FbOU1s5T23lPE+2VcaVIXfwmWKpQoUK+Pv7c+TIkWzrjxw5QuXKlXN9zqhRo3j44Yd59NFHAWjUqBFnzpyhT58+jBw5Ej+/nF22goODCQ4OzrE+MDCwQD/INm2genXTmTu3fksOh3m8TZsA/P3z/TJFWkF/BsWN2st5aivnqa2cp7Zynifayp3785kO3kFBQTRt2pRVq1ZlrktPT2fVqlW0aNEi1+ecPXs2R0Hk//+ViJVbxeJB/v4wY4ZZdjhyPm5Z8NxzqFASERHxMj5TLAFERUUxb948Fi1axM6dO+nXrx9nzpwhMjISgO7du2frAN65c2defPFFFi9ezN69e0lISGDUqFF07tw5s2gqTHfdBe++C9Wq5XwsLAzatSv0SCIiInIBPnMZDqBr1678+eefjB49msOHD9OkSRNWrFiR2el7//792c4kxcTE4HA4iImJ4eDBg1SsWJHOnTszYcIEu94Cd90Fd9xh7npbvnwb7do14cknA9i9G6ZOhTFjbIsmIiIiufCpYgmgf//+9O/fP9fH1q5dm+37gIAAYmNjiY2NLYRkzvP3h9atLc6cOcjNNzcmPh7uvRemTIF+/eA/N/yJiIiIjXzqMlxRdffdcPXVcOYMjB9vdxoRERE5l4olL+BwwOTJZvmll2DPHnvziIiISBYVS16iTRvo0AFSUuA8Q0CJiIiIDVQseZH4ePPvW2/B1q32ZhERERFDxZIXufJKeOABszx8uL1ZRERExFCx5GXGjYPAQFi5ElavtjuNiIiIqFjyMrVqQd++ZnnYsNynRhEREZHCo2LJC8XEQKlS8O23ZsRvERERsY+KJS9UqRIMHmyWR440d8iJiIiIPVQseanBg6FiRfjlF3jlFbvTiIiIFF8qlrxU6dJZ4y3FxZnRvUVERKTwqVjyYo89BjVrwuHD8NxzdqcREREpnlQsebGgoKy54p55Bv76y948IiIixZGKJS/XrRs0aQKJiTBxot1pREREih8VS17Ozw8mTTLLL7wAv/1mbx4REZHiRsWSD2jf3ky0m5wMsbF2pxERESleVCz5AIcDJk82y6++Cjt22JtHRESkOFGx5COuvhruucdMfzJihN1pREREig8VSz5kwgTw94ePP4bPP7c7jYiISPGgYsmH1K0Ljz5qljXJroiISOFQseRjRo+GEiVg40b48EO704iIiBR9KpZ8TNWq8NRTZjk6GlJT7c0jIiJS1KlY8kFDh0L58rBzp7k7TkRERDxHxZIPKlMGRo40y6NHwz//2JtHRESkKFOx5KMefxwiIuDgQTOyt4iIiHiGiiUfFRIC48aZ5fh4OHHC3jwiIiJFlYolH/bQQ3D55aZQyhjhW0RERNxLxZIP8/eHiRPN8owZ5pKciIiIuJeKJR93221w/fXw778wZozdaURERIoeFUs+7txJdufPh1277M0jIiJS1KhYKgJatoQ77oD0dE2yKyIi4m4qloqIiRPBzw/+9z/46iu704iIiBQdKpaKiAYNoEcPs6xJdkVERNxHxVIREhcHwcGwfj0sX253GhERkaJBxVIREhEBTz5plocPh7Q0e/OIiIgUBSqWipjoaDN33I4d8OabdqcRERHxfSqWipjy5c1ZJYBRoyApyd48IiIivk7FUhE0YABUrQq//QZz5tidRkRExLepWCqCQkOzRvMePx4SE22NIyIi4tNULBVRkZFQrx4cOwZTptidRkRExHepWCqiAgKyJtmdOhUOH7Y3j4iIiK9SsVSE3XknNG8OZ8/CuHF2pxEREfFNKpaKsHMn2Z07F3bvtjePiIiIL1KxVMS1bg233AKpqRATY3caERER36NiqRiIjzdnmZYsgc2b7U4jIr4mLQ3WrXOwfn011q1zaHYAKXZ8rliaNWsWNWrUICQkhObNm7Np06Y8tz958iRPPPEEVapUITg4mLp167Js2bJCSusdGjeGBx80yxkDVoqIOGPpUqhRA9q1C2DatGa0axdAjRpmvUhx4VPF0pIlS4iKiiI2NpYtW7bQuHFjOnTowNGjR3PdPjk5mXbt2rFv3z7effddfvrpJ+bNm0e1atUKObn9xo6FwED47DNISLA7jYj4gqVL4Z574Pffs68/eNCsV8EkxYVPFUvTpk2jd+/eREZG0qBBA+bMmUNoaCjz58/Pdfv58+dz/Phx3n//fa677jpq1KhB69atady4cSEnt1/NmvD442Z5+HBIT7c3j4h4t7Q0GDgQLCvnYxnrBg3ShN1SPATYHcBZycnJbN68mejo6Mx1fn5+tG3blo0bN+b6nA8//JAWLVrwxBNP8MEHH1CxYkUeeOABhg0bhr+/f67PSUpKIumcCdUS/3/465SUFFJSUtz2fjL25c59XsjQoTB/fgBbtjh4661U7rsvl6OgF7KjrXyZ2st5aqvzW7fOwe+/n/9XhGXBgQOwZk0qrVv7xrGksOhz5TxPtpU79+kzxdKxY8dIS0sjPDw82/rw8HB27dqV63N+/fVXVq9ezYMPPsiyZcvYvXs3jz/+OCkpKcTGxub6nPj4eOLi4nKsX7lyJaGhoQV/I/+RUMjXxG67rS5vvXUZQ4b8S0jIagICfOcgV9ht5evUXs5TW+W0fn01oNkFt1u+fBtnzhz0fCAfpM+V8zzRVmfPnnXbvnymWMqP9PR0KlWqxNy5c/H396dp06YcPHiQZ5999rzFUnR0NFFRUZnfJyYmEhERQfv27QkLC3NbtpSUFBISEmjXrh2BgYFu2++F3HADrF5tcfhwKf7441b69vX+63F2tZWvUns5T211fiVLOpg27cLb3XJLE1q3Ln5dG/Kiz5XzPNlWiW6cGNVniqUKFSrg7+/PkSNHsq0/cuQIlStXzvU5VapUITAwMNslt8suu4zDhw+TnJxMUFBQjucEBwcTHBycY31gYKBHPvSe2u/5lCsHo0ZB//4wYYI/kZH+lCpVaC9fIIXdVr5O7eU8tVVObdpAlSpw6FDujzscUL06tGkTwHl6NRR7+lw5zxNt5c79+UwH76CgIJo2bcqqVasy16Wnp7Nq1SpatGiR63Ouu+46du/eTfo5vZl//vlnqlSpkmuhVFz07g21a8ORIzB9ut1pRMQb+flBxYp5b/Pcc6hQkmLBZ4olgKioKObNm8eiRYvYuXMn/fr148yZM0RGRgLQvXv3bB3A+/Xrx/Hjxxk4cCA///wzn3zyCRMnTuSJJ56w6y14haAgGD/eLD/7LPz5p715RMT7zJsH27ebIUdyO3nfsSPcdVfh5xKxg08VS127dmXKlCmMHj2aJk2asG3bNlasWJHZ6Xv//v0cOueccUREBJ9++inffPMNV1xxBQMGDGDgwIEM18iM3HcfXHUVnDoFEybYnUZEvMm+fTB4sFl+5hkzzlJCQipRUd8yebIZK+Czz+DXX+3LKFKYfKbPUob+/fvTv3//XB9bu3ZtjnUtWrTgq6++8nAq3+PnB5MmQfv28OKLZryUGjXsTiUidktPh1694PRpuP56GDDAHC9at7Y4c+YgnTo15rPP/ElIgNGj4fXX7U4s4nk+dWZJ3KtdO7j5ZkhONgc9EZE5c2D1aihRAhYsMIXSf02aZP594w3Ytq1Q44nYQsVSMZdx0Hv9ddM/QUSKr19/NYPXAkyeDHXq5L7dVVdBt25m+ZxuoiJFloqlYq5ZM9N/ybJ00BMpztLT4ZFH4MwZaN0aLnQfzLhxEBAAK1bAmjWFk1HELiqWhPHjzUFv2TJYt87uNCJih1mzzP//kiVh/vzcL7+dq04d6NPHLA8blvscciJFhYol4dJLzdhLoIOeSHG0e7f5vw/m7rdatZx73qhRprj65ht47z3P5ROxm4olAUwH79BQ+PpreP99u9OISGFJT4fISPjnH7jpJujb1/nnVq4MGbNDjRwJqameyShiNxVLAmQ/6EVH66AnUlzMnAlffAGlSsErr1z48tt/DRkCFSrAzz+by3ciRZGKJcn09NNw0UXw00+wcKHdaUTE037+OevGjqlT8zfWWlgYxMSY5TFjwI0TvYt4DRVLkuncg15srA56IkVZWhr07An//mvGXMvot5gfffuaQuvQIZgxw10JRbyHiiXJpl8/uOQS+OMPeP55u9OIiKdMnw4bN0Lp0vDyy+Bw5H9fwcFmKAEwY7f99Zd7Mop4CxVLks25B734eDh+3N48IuJ+u3ZlnUWePh0uvrjg+3zgAbjiCkhMNMcOkaJExZLk8MAD0KgR/P131gjfIlI0pKZCjx6QlAQdO5qBKN0hY75JgBdegP373bNfEW+gYkly8PfP+stw5kw4cMDePCLiPlOnwqZNUKYMzJtXsMtv/9Wxoxn9OynJ9HsUKSpULEmuOnWCG24wB70xY+xOIyLu8MMPWZNmP/ccVK/u3v07HGZOOYBXX4Xvv3fv/kXsomJJcnXuQW/hQvjxR1vjiEgBpaaau9+Sk+HWW82lOE9o3hzuussMdjlihGdeQ6SwqViS87r2WrjzTh30RIqCZ56Bb7+FsmVh7lz3Xn77rwkTTB+mjz4yA16K+DoVS5KnjIPeBx/Ahg12pxGR/NixI+ty+vPPQ9Wqnn29+vWhVy+zrPkmpShQsSR5uuyyrLtldNAT8T0pKeaSW0oK3H47PPhg4bxubCyEhJg/sj76qHBeU8RTVCzJBY0ZYw56X3wBn3xidxoRcUV8PGzdCuXLw0svefby27mqVYNBg8xydLQZMVzEV6lYkguqVg0GDDDLOuiJ+I5t27IGmX3hBTNhdmEaNgzKlTM3iLz6auG+tog7qVgSpwwfbjqGfv89vP663WlE5EKSk83db6mp5u60bt0KP0PZslk3h4weDf/8U/gZRNxBxZI4pVy5rNnJR482k2+KiPeaMAG++w4uughmzy68y2//1b+/Gc/p999h1ix7MogUlIolcdqTT5pLcvv3m4OviHinLVtMsQTm/2p4uH1ZQkIgLs4sT5wIJ0/al0Ukv1QsidNKlMg66E2YYOaOExHvkpRkLr+lpcG998J999mdCLp3hwYN4MQJM96TiK9RsSQu6dHDjKFy/Dg8+6zdaUTkv8aNM+MqVazoPZe9AgLMWSUw06z88YetcURcpmJJXBIQkDXJ7rRpcOiQvXlEJMs338CkSWb5xRdNweQtbr8dWrY0nbwzzlCL+AoVS+KyO+6AFi3MQW/sWLvTiAiYmy4yLr916wZ33213ouzOnW/ylVfgp5/szSPiChVL4jKHI+uv13nz4Oef7c0jIuZszY8/ms7cL7xgd5rcXX89dO5sCrqRI+1OI+I8FUuSLzfcYGYuT0uDmBi704gUb19/ndVx+qWXzHAB3mriRPMH13vvmdwivkDFkuRbfLw56L3zjukrISKF759/zOW39HR46CFzmdybXX65uTsOzGC3mm9SfIGKJcm3Ro3g4YfNsg56IvYYPRp27TJTmcyYYXca54wdC8HBsHYtfPqp3WlELkzFkhTI2LEQFASrV0NCgt1pRIqXDRtg6lSzPHeumSzXF1x8MTzxhFkePtycFRPxZiqWpEAuuSTroDdsmA56IoXl7Flz+c2yzPhnnTvbncg1I0ZAWJiZkuWtt+xOI5I3FUtSYBkHvW3bYMkSu9OIFA8xMfDLL1C1qhno0ddcdJH5AwvMe0lKsjePSF5ULEmBVagAQ4ea5ZgYM9u5iHjO559nFUgvvwxly9qZJv8GDoQqVWDfPnMXn4i3UrEkbjFokOlg+uuvpu+EiHjGmTMQGWkuvz3yCNxyi92J8q9kSYiNNcvjxkFior15RM5HxZK4RcmS5q4cMAe9U6fszSNSVI0YAXv2QPXqZsohX/fII3DppXDsWFZndRFvo2JJ3ObRR6FOHTh6tGgcxEW8zbp1MHOmWX7lFShTxt487hAYmDXJ7tSpcOSIvXlEcqNiSdwmMBAmTDDLU6aYoklE3OP0aXP5DaBPH2jf3t487nT33XD11eYS47hxdqcRyUnFkrjVPfdAs2bmwD5+vN1pRIqOYcNg714zRtGzz9qdxr3OnWT3pZfMZUYRb6JiSdzKzy9rkt05c0yHbxEpmNWrYfZss/zKK2aojqKmTRvo0AFSUzXfpHgfFUvidjffbC4RpKTAqFF2pxHxbadOmU7QAP36Qdu29ubxpPh48+/ixbBli71ZRM6lYkk8IuPs0ptvmsEqRSR/nn4afvsNatSAZ56xO41nXXklPPCAWY6OtjeLyLlULIlHXHkldOtmlnXQE8mflSuzBmtcsABKlbI3T2EYN87cLLJyJaxaZXcaEUPFknjM+PEQEAArVsCaNXanEfEtf/9thuMA6N8fbrzR1jiFplYt6NvXLGu+SfEWPlcszZo1ixo1ahASEkLz5s3ZtGmTU89bvHgxDoeDLl26eDagZKpdGx57zCwPG2ZGHBYR5wwZAgcOmOIh47J2cRETY86ibd4M775rdxoRHyuWlixZQlRUFLGxsWzZsoXGjRvToUMHjl5gQJ99+/YxZMgQWrVqVUhJJcOoUWZ072++gffeszuNiG9YscLM+eZwwMKF5v9QcVKpkikWAUaONDeLiNjJp4qladOm0bt3byIjI2nQoAFz5swhNDSU+fPnn/c5aWlpPPjgg8TFxVGrVq1CTCsA4eEweLBZHjnS3BYsIud38mTW5bcBA6C4/o0XFQUVK8Lu3aZwFLFTgN0BnJWcnMzmzZuJPqe3sJ+fH23btmXjxo3nfd7YsWOpVKkSvXr14vPPP7/g6yQlJZGUlJT5feL/z+yYkpJCihv/vMnYlzv36a0GDIDZswP4+WcH8+al8uijrl2PK05t5Q5qL+d5Y1sNHOjPwYN+1KljEReX6jVnVQq7rUJCYMQIP556yp+xYy3uvz/VZ86weePnylt5sq3cuc98F0vJycns3buX2rVrExDg+Zrr2LFjpKWlER4enm19eHg4u3btyvU5X3zxBa+88grbXLh3PT4+nri4uBzrV65cSWhoqEuZnZGQkOD2fXqjLl1q8fLLjRg5MpWLLvqM4OA0l/dRXNrKXdRezvOWtvr223BeffVaHA6LXr2+YO3a43ZHyqEw26p6dQfh4Tdz+HBJ+vffzb33/lxor+0O3vK58gWeaKuzZ8+6bV8uVzlnz57lySefZNGiRQD8/PPP1KpViyeffJJq1aoxfPhwt4UriFOnTvHwww8zb948KlSo4PTzoqOjiYqKyvw+MTGRiIgI2rdvT5gbh81NSUkhISGBdu3aERgY6Lb9equbb4bPPrPYty+En3++hWHDnL/Fpbi1VUGpvZznTW114gT062cOyYMGpTN48LW25vkvu9rq7FkHPXrAhx/W59ln6+DC4dw23vS58naebKuMK0Pu4HKxFB0dzXfffcfatWvp2LFj5vq2bdsyZswYjxVLFSpUwN/fnyP/mZL6yJEjVK5cOcf2e/bsYd++fXTu3DlzXfr/34MaEBDATz/9RO3atXM8Lzg4mODg4BzrAwMDPfKh99R+vU1goBlK4KGH4Nln/enXz5+LLnJ1H8WjrdxF7eU8b2irIUPg0CGoVw8mTPAnMNDf1jznU9ht9dBDMH06bNvm4NlnA5k2rdBeusC84XPlKzzRVu7cn8sdvN9//31eeOEFrr/+ehwOR+b6hg0bsseDsx8GBQXRtGlTVp0zSll6ejqrVq2iRYsWObavX78+O3bsYNu2bZlft99+O23atGHbtm1ERER4LKvk7v77oXFjSEzMmtZAROCDD+C118zcigsXQokSdifyHufONzlrlhnNXKSwuVws/fnnn1SqVCnH+jNnzmQrnjwhKiqKefPmsWjRInbu3Em/fv04c+YMkZGRAHTv3j2zA3hISAiXX355tq+yZctSunRpLr/8coKCgjyaVXI696D3/POwf7+9eUS8wV9/ZY1HNmQIXOtdV9+8Qvv2cNNNkJwMo0fbnUaKI5eLpWbNmvHJJ59kfp9RIL388su5nuFxp65duzJlyhRGjx5NkyZN2LZtGytWrMjs9L1//34OHTrk0QxSMB06mJGIk5MhNtbuNCL2GzAAjhyByy6DXO4tEcx4Uxl/aL32Gmzfbm8eKX5c7rM0ceJEbrnlFn788UdSU1OZMWMGP/74Ixs2bGDdunWeyJhN//796d+/f66PrV27Ns/nLly40P2BxCUZB71rr4VXXzVjMF1+ud2pROyxdKmZbNrfHxYtMrfLS+6uvhruuceM6D1iBHz8sd2JpDhx+czS9ddfz3fffUdqaiqNGjVi5cqVVKpUiY0bN9K0aVNPZJQipnlzuPtuM+fTiBF2pxGxx59/Zs2BNnSoKQYkbxMmmMLyk09g/Xq700hx4lKxlJKSwiOPPILD4WDevHls2rSJH3/8kddff51GjRp5KqMUQRkHvY8+gi++sDuNSOHr398UTA0b6pK0s+rWzRrdXPNNSmFyqVgKDAzkPU3wJW5Qrx706mWWddCT4uadd+Dtt7Muv+UyWomcR2wshIbCV1+ZuwhFCoPLl+G6dOnC+++/74EoUtzExppbpDdsMGeYRIqDo0fh8cfN8ogRoN4LrqlSBQYNMsvR0ZpvUgqHyx28L730UsaOHcuXX35J06ZNKfmfyXoGDBjgtnBStFWtCgMHmg7f0dFw663mL22RosqyTKF07BhccQXExNidyDcNHQpz5sCuXebMXMZZahFPcblYeuWVVyhbtiybN29m8+bN2R5zOBwqlsQlw4bBSy/Bjz+au+P+f8gskSJpyRJ47z0ICDC/5DXcW/6UKQMjR5q7aWNj4YEHNJCneJbLl+H27t173q9ff/3VExmlCCtbNuuOuNGj4Z9/bI0j4jGHD8MTT5jlmBho0sTWOD7v8cchIgIOHjSD3Ip4ksvF0rksy8JSz1wpoP79zUHv99/NdAYiRY1lmWECjh83RZKGzCi4kBAYN84sx8ebiYhFPCVfxdKrr75Ko0aNKFGiBCVKlOCKK67gtddec3c2KSZCQrJGLp44EU6etDWOiNu9+aa5cysw0Fx+09yq7vHQQ2ZQ25Mns0b4FvEEl4uladOm0a9fPzp16sTbb7/N22+/TceOHenbty/Tp0/3REYpBrp3N+PNnDgBkyfbnUbEff74A5580iyPHm06dot7+PtnTco9c6Y5Oy3iCS4XS88//zwvvvgikydP5vbbb+f222/nmWeeYfbs2cycOdMTGaUY8Pc3Z5UAZswwv2BEfJ1lmUlyT5wwQwQMG2Z3oqLn1lvh+uvh339hzBi700hR5XKxdOjQIVq2bJljfcuWLTWJrRRI585w3XWmk7cmFJWi4LXXzBxmQUGwcKEuv3mCw5F1NnrBAti50948UjS5XCzVqVOHt99+O8f6JUuWcOmll7ollBRP584s/sor8NNP9uYRKYiDByFjJJW4OE0Y7UktW8Idd5j5JkeOtDuNFEUuj7MUFxdH165dWb9+Pddddx0AX375JatWrcq1iBJxxfXXmzNMH31kDnrvvmt3IhHXWRb07g1//w3XXANDhtidqOibONEcN/73P9i4EVq0sDuRFCUun1m6++67+frrr6lQoQLvv/8+77//PhUqVGDTpk3ceeednsgoxczEieDnZwbv+/pru9OIuG7BAli+3Mz5tmCBGYRSPKtBA+jZ0yxrvklxt3z9F27atCmvv/66u7OIAOZyRffupo/HsGGwcqXdiUScd+AAPPWUWR43zvwSl8IxZgy88QZ8/jksW2Y6f4u4g8tnlpYtW8ann36aY/2nn37K8uXL3RJKJC7O/FW+bh18+qnD7jgiTrEsePRRSEyEa6+FqCi7ExUvERFZ/cSioyEtzd48UnS4XCwNHz6ctFw+gZZlMXz4cLeEErn4YjOyN0BMjD/p6fbmEXHGyy+bM6EhIebMqCaGLnzDh5tplHbsMGeZRNzB5WLpl19+oUEu55Xr16/P7t273RJKBMxfhmFhsH27g88/r253HJE8/fZb1pmkCROgXj178xRX5ctnjWc1ejQkJdmbR4oGl4ulMmXK5Dph7u7duylZsqRbQokAXHSR+SsR4I036uugJ17LsqBXLzh92owVNnCg3YmKtwEDoGpVU8C++KLdaaQocLlYuuOOOxg0aBB79uzJXLd7924GDx7M7bff7tZwIgMHQpUqFkePlmTevALN+yziMS+9BKtWQYkS5u43XX6zV2ho1mje48ebIRxECsLl3z7PPPMMJUuWpH79+tSsWZOaNWty2WWXcdFFFzFlyhRPZJRiLDQURo0yfeQmTvQjMdHmQCL/sXdv1jhKkyaBxub1DpGR5lLoX3+BfjVJQeXrMtyGDRv45JNPePzxxxk8eDCrVq1i9erVlC1b1gMRpbjr2dOiatXTHDvmYOpUu9OIZElPh0cegTNn4IYbsm5KEPsFBGTNNzltGmg2LimIfF3XcDgctG/fnqeffpr+/ftzww03uDuXSKaAAHjooR8BmDoVjhyxOZDI/5s9G9auNWdA5883g6mK97jzTmjeHM6eNWNeieSX0/+1N27cyMcff5xt3auvvkrNmjWpVKkSffr0IUk9cMVDWrQ4xNVXp3PmjA564h327Mm66+qZZ6B2bXvzSE7nTrI7bx788ou9ecR3OV0sjR07lh9++CHz+x07dtCrVy/atm3L8OHD+eijj4iPj/dISBGHAyZMMIMtvfSS+UUlYpf0dNMn5uxZaNMG+vWzO5GcT+vWcMstkJoKMTF2pxFf5XSxtG3bNm6++ebM7xcvXkzz5s2ZN28eUVFRzJw5UxPpikfdeKNFx4466In9nn/eTKlRsiS88oouv3m7+HjzB9fbb8O339qdRnyR0//FT5w4QXh4eOb369at45Zbbsn8/uqrr+bAgQPuTSfyHxknLxcvhi1b7M0ixdMvv5gBU8HcZVWzpr155MIaN4YHHzTLmmhC8sPpYik8PJy9e/cCkJyczJYtW7j22mszHz916hSBgYHuTyhyjiZNdNAT+6Slmctv//wDbdvCY4/ZnUicNW4cBAWZ8bASEuxOI77G6WKpU6dODB8+nM8//5zo6GhCQ0Np1apV5uPbt2+ntno4SiEYNw4CA80Bb9Uqu9NIcTJjBnz5JZQubeaBc2iOZ59Ro0ZW37Jhw9B8k+ISp4ulcePGERAQQOvWrZk3bx7z5s0jKCgo8/H58+fTvn17j4QUOVfNmtC3r1nWQU8Ky65dMHKkWZ42DS65xN484rqRI02hu3Wr6b8k4iyni6UKFSqwfv16Tpw4wYkTJ7jzzjuzPf7OO+8QGxvr9oAiuYmJgVKlYPNmePddu9NIUZeWBj17wr//QocOZh448T0VK8LTT5vlmBhITrY3j/iOfI3g7Z/LxEfly5fPdqZJxJMqVcqaYmLkSEhJsTePFG1Tp8LXX0NYmBmvR5fffNdTT0F4uBl+ZN48u9OIr9ANr+KzoqJM0bR7t+k/IuIJP/4Io0eb5eeeg4gIW+NIAZUqlfXzHDsWTp+2N4/4BhVL4rNKl4ZRo8zy2LFmfi4Rd0pNNZffkpKgUyezLL6vd28z4vrRo6b/mciFqFgSn9anD9SqBYcPm7/6Rdzp2Wfhm2+gTBmYO1eX34qKwECYMMEsP/ss/PmnvXnE+7lcLK1fv57U1NQc61NTU1m/fr1bQok4KygIxo83y5Mnw7Fj9uaRouP77yHjnpWZM6FaNXvziHvdey9cdZW5DJdxDBE5H5eLpTZt2nD8+PEc6//++2/atGnjllAirujaFa68Ek6dgokT7U4jRUFKirnklpICnTvDww/bnUjczc8va5LdF1+E/x9zWSRXLhdLlmXhyOVc9F9//UXJkiXdEkrEFX5+MGmSWZ41C377zd484vsmTzbDUpQrZyZu1uW3oqltW/OVkpLV6VskNwHObnjXXXcB4HA46NmzJ8HBwZmPpaWlsX37dlq2bOn+hCJOaNcObroJVq82B71Fi+xOJL7qu+/MDQMAL7wAVarYm0c8a9IkaNYM3njDDEfSuLHdicQbOX1mqUyZMpQpUwbLsihdunTm92XKlKFy5cr06dOH119/3ZNZRc7L4cg6u/Taa7B9u715xDclJ2ddfuvSBe6/3+5E4mlNm5pL+ZaVNUGyyH85fWZpwYIFANSoUYMhQ4bokpt4nauvNp0233kHRoyAjz+2O5H4mokTYds2uOgimDNHl9+Ki/Hj4b33YPlyWLsWbrzR7kTibVzusxQbG6tCSbzW+PHg7w+ffAK6OVNcsXVr1u3ks2aZUZ6leKhTxwxDAma+ScuyN494H5eLpSNHjvDwww9TtWpVAgIC8Pf3z/YlYqe6dc2Ac6CDnjgvORl69DCDUN5zD9x3n92JpLCNGgWhobBpE/zvf3anEW/j9GW4DD179mT//v2MGjWKKlWq5HpnnIidRo+GV1+Fr76CDz4wfU9E8jJhgh87dkCFCuaskg5rxU/lyjB4MIwbZy7j3347BLj8G1KKKpfPLH3xxRe88cYb9OvXjy5dunDHHXdk+/K0WbNmUaNGDUJCQmjevDmbNm0677bz5s2jVatWlCtXjnLlytG2bds8t5eioUoVM1kmmA6buYyhKpJp9+6yPPOMORTOnm3mG5TiacgQUzD/9BP8fzddESAfxVJERASWTdc2lixZQlRUFLGxsWzZsoXGjRvToUMHjh49muv2a9eu5f7772fNmjVs3LiRiIgI2rdvz8GDBws5uRS2p582nXR37dIwAnJ+SUkwc+aVpKU56NrV3CAgxVdYGIwcaZZjY+HsWXvziPdwuVh67rnnGD58OPv27fNAnLxNmzaN3r17ExkZSYMGDZgzZw6hoaHMnz8/1+3feOMNHn/8cZo0aUL9+vV5+eWXSU9PZ9WqVYWcXApbmTLmVDqYg94//9ibR7zTuHF+7N8fRqVKFi+8YHca8Qb9+sEll8ChQ2aaGxHIR5+lrl27cvbsWWrXrk1oaCiBgYHZHs9tKhR3SE5OZvPmzUSfMxCGn58fbdu2ZePGjU7t4+zZs6SkpFC+fPnzbpOUlERSUlLm94mJiQCkpKSQkpKSz/Q5ZezLnfssqvLbVr17w4wZAezf7+C559IYMiTdE/G8jj5bzvnmGwdTppibUmbMSKZMGT/UZOdXXD5Xfn4QG+vgkUcCmDTJIjIylTx+ZeSquLSVO3iyrdy5T5eLpedsmtr92LFjpKWlEf6f+3nDw8PZtWuXU/sYNmwYVatWpW3btufdJj4+nri4uBzrV65cSWhoqGuhnZCQkOD2fRZV+WmrLl0imDnzKiZMSOPiiz+jVKnic/DSZ+v8kpP9iIq6kfT00txwwwFKlNjCsmV2p/INxeFzVaYM1KhxI/v2laFv33307PljvvZTHNrKXTzRVmfdeB3V5WKpR48ebnvxwjRp0iQWL17M2rVrCQkJOe920dHRREVFZX6fmJiY2dcpLCzMbXlSUlJISEigXbt2Oc7OSXYFaasOHWDVKosffghi69YOxMcX/bNL+mxdWHS0H7//7k94uMWjj+5QWzmhuH2uAgIc3HEHLF9eh6lTaxAR4fxzi1tbFYQn2yrjypA75OvGyD179rBgwQL27NnDjBkzqFSpEsuXL+fiiy+mYcOGbgt3rgoVKuDv78+RI0eyrT9y5AiVK1fO87lTpkxh0qRJfPbZZ1xxxRV5bhscHJxt3rsMgYGBHvnQe2q/RVF+2iow0EyD0rkzzJrlz6BB/lSv7qGAXkafrdxt3AjTp5vl2bPT8PdPUVu5oLi0VefOcMMNsH69g/HjAzlP19g8FZe2cgdPtJU79+dyB+9169bRqFEjvv76a5YuXcrp06cB+O6774iNjXVbsP8KCgqiadOm2TpnZ3TWbtGixXmf98wzzzBu3DhWrFhBs2bNPJZPvNett0KrVvDvvzBmjN1pxE7//GPmfktPh+7doXNnjVoquXM4YPJks7xoEfzwg715xF4uF0vDhw9n/PjxJCQkEBQUlLn+pptu4quvvnJruP+Kiopi3rx5LFq0iJ07d9KvXz/OnDlDZGQkAN27d8/WAXzy5MmMGjWK+fPnU6NGDQ4fPszhw4czCzwpHs496C1YADt32ptH7BMTAz//DFWrgk3dL8WHXHst3HmnKa4z7q6V4snlYmnHjh3ceeedOdZXqlSJY8eOuSXU+XTt2pUpU6YwevRomjRpwrZt21ixYkVmp+/9+/dz6NChzO1ffPFFkpOTueeee6hSpUrm15QpUzyaU7xPixZwxx3moJcxjooUL198kXX5be5cKFfO3jziGyZONHfIffghfPml3WnELi73WSpbtiyHDh2iZs2a2dZv3bqVatWquS3Y+fTv35/+/fvn+tjatWuzfW/HWFDivSZOhI8+MvM+bdxoCigpHs6ehchIM1dgZKS5NCvijPr14ZFH4OWXzXyTn3+u6XCKI5fPLHXr1o1hw4Zx+PBhHA4H6enpfPnllwwZMoTu3bt7IqOIWzRoYPqrgCbZLW5GjIDdu6F6dZg2ze404mvGjIGQEHNm6eOP7U4jdnC5WJo4cSL169cnIiKC06dP06BBA2644QZatmxJTEyMJzKKuE3GQe/zz9G4OsXEunUwY4ZZfvllKFvW1jjig6pVg4EDzXJ0NKSl2ZtHCp/LxVJQUBDz5s1jz549fPzxx7z++uvs2rWL1157DX9/f09kFHGbiAh48kmzrINe0XfmjLmEAvDoo2bcLZH8GDbMFNo//ACvvWZ3GilsLhdLGS6++GI6derEfffdx6WXXurOTCIeNXy4Oejt2AFvvGF3GvGk4cPh119NkTx1qt1pxJeVK5d1R9zo0WYoEik+XO7gbVkW7777LmvWrOHo0aOkp2cfEXnp0qVuCyfiCeXLm1+iw4ebg17XrpDLOKTi49asIXNy3PnzzYzyIgXRv7+ZXPfAAZg1CwYPtjuRFBaXzywNGjSIhx9+mL1791KqVCnKlCmT7UvEFzz5pBlr57ff4MUX7U4j7nbqVNblt759IY/pIEWcVqIEZEwdOnEi/P23vXmk8Lh8Zum1115j6dKldOrUyRN5RApFaKg56PXuDePHm9vJVesXHUOHwr59cMkl8MwzdqeRoqR7d5gyxQxu+8wzMGGC3YmkMLh8ZqlMmTLUqlXLE1lEClXPnmYMlb/+Mgc/KRo++wzmzDHL8+dD6dL25pGiJSAA4uPN8vTp8Mcf9uaRwuFysTRmzBji4uL4559/PJFHpNAEBJhT6WDG3jln8HfxUYmJ0KuXWX7iCbjpJnvzSNF0++3QsqWZa3DsWLvTSGFwuVi67777OHHiBJUqVaJRo0ZcddVV2b5EfEmXLmb+p7NnYdw4u9NIQQ0ZAvv3Q61aMGmS3WmkqHI4sj5fL78MP/1kbx7xPJf7LPXo0YPNmzfz0EMPER4ejkPjvosPyzjo3XgjzJsHTz0FGgnDN336qfkZgrn8VqqUvXmkaGvVCm67zYzoHRMD77xjdyLxJJeLpU8++YRPP/2U66+/3hN5RApd69bQqZMZ0TsmBpYssTuRuOrvv82gkwADBpifqYinTZwIn3wC774LmzbBNdfYnUg8xeXLcBEREYRpwBIpYuLjzVmmt9+Gb7+1O424KioKfv8d6tTJ6ocm4mmNGpm748CM26b5Josul4ulqVOnMnToUPbt2+eBOCL2uOIKeOghszx8uL1ZxDXLlpnLbg4HLFgAJUvanUiKk7g4CAoyg6CuXGl3GvEUl4ulhx56iDVr1lC7dm1Kly5N+fLls32J+KqxY81Bb9UqSEiwO40448QJM1YWwKBBoN4BUtguucSM7A1m/rj/TGohRYTLfZaee+45D8QQsV+NGtCvn5mhftgwuPlm8Mv37IlSGAYNMuPc1K1rBhcVscOIEeauuO++g8WL4d577U4k7pavu+FEiqqRI80lna1bTf+lbt3sTiTn89FH8OqrpqBduNCMyi5ih4suMqPGx8SYrzvusDuRuJtTfzcnJiZmW87rS8SXVawITz9tlmNiIDnZ3jySu+PHoU8fszx4MLRoYW8ekUGDoHJl2LsX5s3TKemixqmfaLly5Th69CgAZcuWpVy5cjm+MtaL+LqnnoLwcNizJ2vcHvEuAwbA4cNmuhqNoCzeoGRJiI01yxMn+vHPPy5fuBEv5tRPc/Xq1Zmdt9esWePRQCJ2K1UKRo8202WMHQs9emiAQ2/yv//BG2+Yy2+LFkFIiN2JRIxevczUSb/84uD992tz9912JxJ3capYan3OCG81a9YkIiIix8jdlmVx4MAB96YTsUnv3maSzN27zcFv9Gi7EwnAsWPQt69ZHjpUgwCKdwkMhAkT4L774IMP6nDkiEX16nanEndw+cJqzZo1+fPPP3OsP378ODVr1nRLKBG7BQZm3V317LOQy0debPDkk3D0KDRsCGPG2J1GJKd77oGmTdP5998A4uPVd6mocPknaVlWrvPBnT59mhCdD5ci5N574aqr4PRp89ei2Ovdd81t2f7+5u634GC7E4nk5HDAxIlmsKV58/zYs8fmQOIWTvdAi4qKAsDhcDBq1ChCz7lPNy0tja+//pomTZq4PaCIXfz8YPJkaNcOZs+GgQNBJ0/tcfSoGQMLzAjrzZrZm0ckL23aWDRpcpRt2yoxahS8+abdiaSgnD6ztHXrVrZu3YplWezYsSPz+61bt7Jr1y4aN27MwoULPRhVpPC1bWu+UlLUb8lOTzxh+is1agSjRtmdRuTCunf/EYC33jLjtolvc/rMUsZdcJGRkcyYMUOT6UqxMWmSOZPxxhswZAg0bmx3ouLl7bfNJbiAAF1+E99Rq9bfdO2azpIlfkRHw4oVdieSgnC5z9KCBQtUKEmx0rQpdO1qZhSPjrY7TfFy5Ag8/rhZHjnS9CET8RVxcWkEBsKnn8Lq1XankYJwuVg6c+YMo0aNomXLltSpU4datWpl+xIpisaPN2c2li+HtWvtTlM8WJbpp/TXX9CkiZl/S8SX1KoFjz1mlocNM59p8U0uDzH66KOPsm7dOh5++GGqVKmS651xIkVNnTpmeo3Zs81B76uvzF0v4jlvvWUGoMy4/BYUZHciEdfFxMCCBfDtt+ZysibZ9U0uF0vLly/nk08+4brrrvNEHhGvNWqU+aW9aZP5JX7XXXYnKroOHYL+/c3y6NHqJya+Kzzc9HWMizOXkrt0MeO4iW9x+TJcuXLlMqc+ESlOKlc2k7aCuSSUmmpvnqLKssylixMnTB+l4cPtTiRSMIMHm0m6f/kFXnnF7jSSHy4XS+PGjWP06NGcPXvWE3lEvNqQIVChAvz0kzm1Lu73+uvw0Ufmr+9Fi/RXuPi+0qWzhryIi4MzZ+zNI65zuViaOnUqn376KeHh4TRq1Iirrroq25dIURYWZvoggJlhXH8zuNfBgzBggFkeMwYuv9zWOCJu89hjZlDbw4dhxgy704irXO6z1KVLFw/EEPEdffvCc8/Bvn0wc6YuE7mLZZlO9CdPmnGthg61O5GI+wQFmbtqH3zQzAzw2GNw0UV2pxJnuVwsxcbGeiKHiM8IDoaxY6F7dzNgZZ8+oG58BbdoESxbZn6pLFpk7oITKUq6dTMTc2/bBhMnwtSpdicSZ+VrSuSTJ0/y8ssvEx0dzfHjxwHYsmULBw8edGs4EW/1wANwxRXw998QH293Gt/3++9m7j2AceOgQQN784h4gp9f1vHihRfgt9/szSPOc7lY2r59O3Xr1mXy5MlMmTKFkydPArB06VKiNbyxFBP+/lkHveefhwMH7M3jyywLHn0UEhOhefOsOw5FiqIOHaBNG0hONv0exTe4XCxFRUXRs2dPfvnlF0JCQjLXd+rUifXr17s1nIg3u+UWaN0akpJ00CuIV14x00EEB5txrPz97U4k4jkOh7l8D/Dqq7Bjh715xDkuF0vffPMNj2WM336OatWqcfjwYbeEEvEF5x70Fi2CH36wN48v2r8foqLM8oQJUL++vXlECsM118A995izqprGxze4XCwFBweTmJiYY/3PP/9MxYoV3RJKxFdcey3ceSekp+ug5yrLgl694NQpaNkSBg2yO5FI4ZkwwZxF/fhj+Pxzu9PIhbhcLN1+++2MHTuWlJQUABwOB/v372fYsGHcfffdbg8o4u0mTjQdNz/8EL780u40vmPuXPjsMyhRwgzwqctvUpzUrWv66oEm2fUF+RqU8vTp01SqVIl//vmH1q1bU6dOHUqXLs2ECRM8kVHEq9WvD488YpaHD9dBzxl792Z15J440fziECluRo82fyxs3Gj+2BLv5XKxVKZMGRISEvj444+ZOXMm/fv3Z9myZaxbt46SJUt6IqOI1xszBkJC4IsvzGl1Ob/0dHP57cwZaNUqa8RukeKmatWsy8/R0Zpv0pvla5wlgOuuu47HH3+coUOH0rZtW3dmEvE51apljRMUHQ1pafbm8WZz5sCaNRAaCvPnm0uYIsXV0KFmUNudO83dceKdnD5Mbdy4kY//8yfzq6++Ss2aNalUqRJ9+vQhKSnJ7QFFfMWwYVCunLkr7rXX7E7jnX79FZ5+2ixPngx16tibR8RuZctm3RwSGwv//GNrHDkPp4ulsWPH8sM590bv2LGDXr160bZtW4YPH85HH31EfCEMZTxr1ixq1KhBSEgIzZs3Z9OmTXlu/84771C/fn1CQkJo1KgRy5Yt83hGKZ7KlTNnlcD0Rfj3X3vzeJv0dIiMNJMP33gjPP643YlEvMMTT0BEhBnJ/oUX7E4juXG6WNq2bRs333xz5veLFy+mefPmzJs3j6ioKGbOnMnbb7/tkZAZlixZQlRUFLGxsWzZsoXGjRvToUMHjh49muv2GzZs4P7776dXr15s3bqVLl260KVLF77//nuP5pTiq39/qF7djOg9a5bdabzLCy/A+vVQsqQZiFKX30SMkBAz3ySYmQFOnLA3j+Tk9OHqxIkThIeHZ36/bt06brnllszvr776ag54eM6HadOm0bt3byIjI2nQoAFz5swhNDSU+fPn57r9jBkz6NixI08//TSXXXYZ48aN46qrruIFle7iISVKQFycWZ440cwdJ7B7t7lTEMxEorVq2ZtHxNs8/DA0bGgKpcmT7U4j/+X0vN7h4eHs3buXiIgIkpOT2bJlC3EZvxWAU6dOERgY6JGQAMnJyWzevDnb/HN+fn60bduWjRs35vqcjRs3EpUxPPD/69ChA++///55XycpKSlb36uMAThTUlIyx5Zyh4x9uXOfRZWvtdX998Ozzwawa5eD+Pg0xo1LL9TX97b2SkuDHj38+ecfP266KZ1HHknDS6J5XVt5M7WV8/LbVuPGObjrrgBmzLDo2zeVatU8kc67ePJz5c59Ol0sderUieHDhzN58mTef/99QkNDadWqVebj27dvp3bt2m4L9l/Hjh0jLS0t29ktMEXcrl27cn3O4cOHc90+r2lZ4uPjsxWBGVauXEloaGg+kuctISHB7fssqnypre68szLx8c2ZPt2iXr3VlC9f+B2YvKW9PvywFhs2NCIkJJVu3VazYoX39WD1lrbyBWor57naVg4HXHbZ9ezceRF9+hzkiSe+81Ay7+OJz9XZs2fdti+ni6Vx48Zx11130bp1a0qVKsWiRYsICgrKfHz+/Pm0b9/ebcHsEh0dne1sVGJiIhEREbRv356wsDC3vU5KSgoJCQm0a9fOo2fkigJfbKtbboG1a9PZuDGAjRvbMmtW4Z1d8qb2+uknePNNc5iZNg169mxja57/8qa28nZqK+cVpK3KlXNw442watUlTJ1arcjPl+jJz1VuU7Pll9PFUoUKFVi/fj1///03pUqVwv8/cxO88847lCpVym3Bcnt9f39/jhw5km39kSNHqFy5cq7PqVy5skvbg5n7Ljg4OMf6wMBAjxwgPLXfosjX2mryZLjhBpg/35/Bg/2pV69wX9/u9kpLgz59zF2B7dpB374BOBy2xcmT3W3lS9RWzstPW7VuDbffDh9+6GDMmEDee89D4byMJz5X7txfvkbw/m+hBFC+fPlsZ5rcLSgoiKZNm7Jq1arMdenp6axatYoWLVrk+pwWLVpk2x7Mqb7zbS/iTq1awW23maIhJsbuNIVv+nQzjUNYmLn7zVsLJRFvkzHf5NKl8NVXdqcRKMAI3naIiopi3rx5LFq0iJ07d9KvXz/OnDlDZGQkAN27d8/WAXzgwIGsWLGCqVOnsmvXLsaMGcO3335L//797XoLUsxMnGiKhHffhQsMCVak7NyZVSBOn27GkBER5zRsCD16mGVNsusdfKpY6tq1K1OmTGH06NE0adKEbdu2sWLFisxO3Pv37+fQoUOZ27ds2ZI333yTuXPn0rhxY959913ef/99Lr/8crveghQzjRpB9+5mubhMspuaCj17QlKS6bv1/3/LiIgL4uIgONiMTbZ8ud1pxKeKJYD+/fvz22+/kZSUxNdff03z5s0zH1u7di0LFy7Mtv29997LTz/9RFJSEt9//z2dOnUq5MRS3MXFQVCQmQ9t5Uq703jelCnmLFqZMjB3ri6/ieRHRAQ8+aRZHj5c803azeeKJRFfc8klZmRvMKfU0wt32KVC9cMPZn4rgBkzzGjmIpI/0dHmj44dO+DNN+1OU7ypWBIpBCNGmI7O330HixfbncYzUlJMP4vkZNOxPePyo4jkT/nyWSPfjxplLm2LPVQsiRSCiy6CoUPNckyMKSiKmmeegc2bzSzqL72ky28i7jBgAFStCr/9BnPm2J2m+FKxJFJIBg2CypVh715TTBQl27dnzYn3/PPm4C4iBRcaCmPGmOXx48GN4yyKC1QsiRSSkiWz+vOMGwenTtmbx11SUszdbykpcMcd8OCDdicSKVoiI6FePTh2zNxAIYVPxZJIIerVCy69FP78E6ZOtTuNe8THw9atpn/FnDm6/CbibgEBMGGCWZ46FfKY3lQ8RMWSSCEKDMx+0PvPbDw+Z9s2c5YMYNYsc5lRRNzvrrvgmmvg7Nms/3NSeFQsiRSye+6BZs3g9GnTB8FXJSebu99SU82BvGtXuxOJFF0Oh5lvEsz4Zbt325unuFGxJFLIzj3ovfQS/PqrvXnya8IE07G7QgV48UVdfhPxtBtvNKPip6YWz/km7aRiScQGN90E7dubTtGjRtmdxnVbtmRdTpw9GypVsjePSHERH2/+MFmyxAzVIYVDxZKITSZNMv+++abpIO0rkpLM5be0NLjvPrj3XrsTiRQfjRtn3XGaMWCleJ6KJRGbXHkl3H+/WY6OtjeLK8aOhe+/h4oV4YUX7E4jUvyMHWtuFvnsM0hIsDtN8aBiScRG48ebg96nn8Lq1XanubBvvsk6I/bii6ZgEpHCVbMm9OtnlocPL9rzTXoLFUsiNqpVCx57zCwPGwaWZW+evPz7rxl8Mj3dnBG7+267E4kUXzExULq06T/4zjt2pyn6VCyJ2Cwmxozu/e238O67dqc5vzFj4McfITzcTGkiIvapWBGGDDHLI0eam0XEc1QsidgsPNz7D3pffQXPPmuWX3rJTAwsIvaKijJ3ou7ZA/Pm2Z2maFOxJOIFBg82fyn+8gvMn293muz++Sfr8ttDD5n530TEfqVKwejRZnnsWDPQrXiGiiURL1C6dNZ4S2PGwJkztsbJZvRo+OknqFIFZsywO42InKt3b6hd20ydNH263WmKLhVLIl7iscfMXS6HD3tPUbJhQ9aEv3PnmslyRcR7BAVlTZv07LNmkm5xPxVLIl4iKChrgszJk+Gvv+zNc/asufxmWebf226zN4+I5O6++8y4badOZY2sL+6lYknEi9x/vxmhNzERJk60N8vIkaYPVbVqOr0v4s38/LLmm3zxRdi3z9Y4RZKKJREv4ueXNejjCy/Ab7/Zk+Pzz7MuBc6bB2XL2pNDRJzTrh3cfDMkJ2d1+hb3UbEk4mU6dIA2bcxBLza28F//zBmIjDSX33r1MrOci4j3y/hD6/XXYft2e7MUNSqWRLyMw5F10Hv1Vdixo3BfPzrajNsSEZHVuVtEvF+zZqb/kmX51nyTvkDFkogXuuYauOcec9AbMaLwXnft2qzRuV9+GcqUKbzXFpGCGz8eAgJg2TJYt87uNEWHiiURLzVhAvj7w8cfmz5Ennb6tLn8BtCnD7Rv7/nXFBH3uvRSM/YSeP98k75ExZKIl6pb1/QZgsI56A0bZu6iueQSmDLFs68lIp4zejSEhsLXX8P779udpmhQsSTixWJjoUQJ2LgRPvzQc6+zahXMnm2WX3nFjCguIr6pcmUzbxyYvkupqfbmKQpULIl4sapVYdAgszxihGcOeomJ8MgjZvnxx83txyLi255+2kx4/dNPsHCh3Wl8n4olES83dKiZZuTHH83dce729NOwf7+ZaiVjYDsR8W1hYRATY5ZjY82I/JJ/KpZEvFzZsll3xMXGwj//uG/fK1eaOd8A5s83s5iLSNHQr5/pg/jHH1l3uUr+qFgS8QFPPGHGPfr9dzOytzv8/Tc8+qhZfvJJuPFG9+xXRLxDcDCMHWuW4+Ph+HF78/gyFUsiPiAkJPtB78SJgu9z8GA4cABq1zb7FJGi58EHoVEj88dRxmC34joVSyI+4uGHoWFDUygVtG/R8uXmrjeHAxYsgJIl3ZNRRLyLv3/WH0MzZ5o/kMR1KpZEfMS5B70ZM+Dgwfzt5+TJrMtvAwdCq1ZuiSciXqpTJ7jhBkhKgjFj7E7jm1QsifiQ226D666Df/+FuLj87eOpp0yHz0svNaOEi0jR5nBknY1euNDcWSuuUbEk4kPOPei98grs2uXa8z/+2BwsHQ7zb2iouxOKiDe69lq4805ITy/c+SaLChVLIj7muuvg9tvNQW/kSOefd/y4mfMNzOi+LVt6Jp+IeKcJE8DPDz74ADZssDuNb1GxJOKDJk40B72lS+Grr5x7zsCBcOgQ1KsH48Z5Np+IeJ/LLsuaLFuT7LpGxZKID2rYEHr0MMvDh1/4oPfBB/D666bAWrjQzDcnIsXPmDFmKJIvvoBPPrE7je9QsSTio+LizKBz69bBihXn3+6vv+Cxx8zy00+bvgsiUjxVrw4DBpjl6GhIS7M3j69QsSTioyIizMjbYM4upafnvt2TT8KRI9CggW4bFhFzvChbFr7/3pxxlgtTsSTiw6KjoUwZ2L4d3nwz5+PvvQdvvWXGaFq40Jx+F5HirVw5c+wAGD3aDEUieVOxJOLDypc3fyWCmWE8KSnrsT//NBNpgunMefXVhZ9PRLzTk09CtWqwfz/Mnm13Gu+nYknExw0YAFWrwm+/mYPeunUO1q+vxv33+/Pnn3D55eavRxGRDCVKZA1sO2GCmTtOzs9niqXjx4/z4IMPEhYWRtmyZenVqxenT5/Oc/snn3ySevXqUaJECS6++GIGDBjA3/pESBETGgqxsWZ5yBBo1y6AadOasX69+e/do4fpCC4icq4ePaB+fTMG27PP2p3Gu/lMsfTggw/yww8/kJCQwMcff8z69evpkzHCXi7++OMP/vjjD6ZMmcL333/PwoULWbFiBb169SrE1CKFo1w5829unbyHDjXjMYmInCsgIGu+yWnTzDhskjufKJZ27tzJihUrePnll2nevDnXX389zz//PIsXL+aPP/7I9TmXX3457733Hp07d6Z27drcdNNNTJgwgY8++ojU1NRCfgcinpOWZkbkzsugQbpFWERyuuMOaNEC/vkHxo61O433CrA7gDM2btxI2bJladasWea6tm3b4ufnx9dff82dd97p1H7+/vtvwsLCCAg4/9tOSkoi6ZxesomJiQCkpKSQkpKSz3eQU8a+3LnPokptlbd16xz8/vv5P9OWBQcOwJo1qbRurSF7z6XPlvPUVs7ztbYaP97BzTcHMG+eRf/+qdStW3iv7cm2cuc+faJYOnz4MJUqVcq2LiAggPLly3P48GGn9nHs2DHGjRuX56U7gPj4eOJymc595cqVhHpg1tGEhAS377OoUlvlbv36akCzC263fPk2zpw56PlAPkifLeeprZznS23VrFlzvv22Mn36HGXo0G8L/fU90VZnz551275sLZaGDx/O5Iwp1M9j586dBX6dxMREbr31Vho0aMCYC4zKFx0dTdQ51zQSExOJiIigffv2hIWFFThLhpSUFBISEmjXrh2BgYFu229RpLbKW8mSDqZNu/B2t9zShNatG3s+kA/RZ8t5aivn+WJbRURAs2YWGzZUo1KlcJo1K5yz0J5sq4wrQ+5ga7E0ePBgevbsmec2tWrVonLlyhw9ejTb+tTUVI4fP07lypXzfP6pU6fo2LEjpUuX5n//+98FfxjBwcEE53LrUGBgoEc+9J7ab1GktspdmzZmCoODB3OfI87hMI+3aROAv3/h5/MF+mw5T23lPF9qq6uugocfhldfhZiYAD77zBw7Cosn2sqd+7O1WKpYsSIVK1a84HYtWrTg5MmTbN68maZNmwKwevVq0tPTad68+Xmfl5iYSIcOHQgODubDDz8kRMMXSxHk7w8zZsA995iD27kFU8bB7rnnUKEkInkaOxYWL4bVqyEhAdq3tzuR9/CJu+Euu+wyOnbsSO/evdm0aRNffvkl/fv3p1u3blStWhWAgwcPUr9+fTZt2gSYQql9+/acOXOGV155hcTERA4fPszhw4dJ021BUsTcdRe8+64Zkfdc1aub9XfdZU8uEfEdl1wCTzxhlocNO/98k8WRTxRLAG+88Qb169fn5ptvplOnTlx//fXMnTs38/GUlBR++umnzA5dW7Zs4euvv2bHjh3UqVOHKlWqZH4dOHDArrch4jF33QX79kFCQipRUd+SkJDK3r0qlETEeSNGQFgYbNsGS5bYncZ7+MTdcADly5fnzdxmCv1/NWrUwDrn+sONN96Y7XuR4sDfH1q3tjhz5iCtWzfWpTcRcUmFCmYg25gY83X33RAUZHcq+/nMmSURERHxvEGDoHJl+PVXOOcCTrGmYklEREQylSyZNd/k2LFw6pS9ebyBiiURERHJplcvuPRS+PNPnBrHrahTsSQiIiLZBAbC+PFmecoU+M9Qh8WOiiURERHJ4Z57oFkzOH06q3AqrlQsiYiISA5+fjBpklmeM8d0+C6uVCyJiIhIrm6+2YzknZICo0bZncY+KpZERETkvDLOLr35phmssjhSsSQiIiLndeWV0K2bWY6OtjeLXVQsiYiISJ7Gj4eAAFixAtassTtN4VOxJCIiInmqXRsee8wsDxsGxW02MRVLIiIickGjRpnRvb/5Bt57z+40hUvFkoiIiFxQeDgMHmyWR440d8gVFyqWRERExCmDB0PFivDzzzB/vt1pCo+KJREREXFKWBjExJjluDg4e9bePIVFxZKIiIg47bHHoEYNOHQIZsywO03hULEkIiIiTgsOzporbtIk+Osve/MUBhVLIiIi4pL774fGjSExEeLj7U7jeSqWRERExCXnTrL7/POwf7+9eTxNxZKIiIi4rEMHuPFGSE6G2Fi703iWiiURERFxmcMBkyeb5UWL4Pvv7c3jSSqWREREJF+uuQbuvttMfzJihN1pPEfFkoiIiOTbhAng7w8ffQRffGF3Gs9QsSQiIiL5Vq8e9OpllovqJLsqlkRERKRAYmOhRAnYsMGcYSpqVCyJiIhIgVStCoMGmeXoaEhLszWO26lYEhERkQIbOhTKlYMff4RXX7U7jXupWBIREZECK1sWRo40y6NHwz//2BrHrVQsiYiIiFs88QRERMDvv8OsWXancR8VSyIiIuIWISEQF2eWJ06EkydtjeM2KpZERETEbbp3h4YN4cSJrBG+fZ2KJREREXEbf39zVglgxgw4eNDePO6gYklERETcqnNnuO4608k747KcL1OxJCIiIm517iS78+fDTz/Zm6egVCyJiIiI2113Hdx+uxmgMmNIAV+lYklEREQ8YuJE8POD996Dr7+2O03+qVgSERERj2jY0NwdB749ya6KJREREfGYuDgIDoZ162DFCrvT5I+KJREREfGYiy+G/v3N8vDhkJ5ub578ULEkIiIiHhUdDWXKwPbt8OabdqdxnYolERER8aiLLjJ9lgBGjYKkJHvzuErFkoiIiHjcwIFQpQrs2wcvvWR3GteoWBIRERGPCw2FMWPM8rhxkJhoaxyXqFgSERGRQvHII1C3Lhw7BlOn2p3GeSqWREREpFAEBGRNsjtlCrz/voP166uxbp2DtDR7s+XFZ4ql48eP8+CDDxIWFkbZsmXp1asXp0+fduq5lmVxyy234HA4eP/99z0bVERERM7rrrugTh04exbuuy+AadOa0a5dADVqwNKldqfLnc8USw8++CA//PADCQkJfPzxx6xfv54+ffo49dznnnsOh8Ph4YQiIiJyIf/7H+zenXP9wYNwzz3eWTD5RLG0c+dOVqxYwcsvv0zz5s25/vrref7551m8eDF//PFHns/dtm0bU6dOZf78+YWUVkRERHKTlmbuistNxlQogwbhdZfkAuwO4IyNGzdStmxZmjVrlrmubdu2+Pn58fXXX3PnnXfm+ryzZ8/ywAMPMGvWLCpXruzUayUlJZF0zgAQif/fXT8lJYWUlJQCvIvsMvblzn0WVWor16i9nKe2cp7aynlqq/Nbt87B77+fv/SwLDhwANasSaV164JNJOfO9veJYunw4cNUqlQp27qAgADKly/P4cOHz/u8p556ipYtW3LHHXc4/Vrx8fHExcXlWL9y5UpCQ0OdD+2khIQEt++zqFJbuUbt5Ty1lfPUVs5TW+W0fn01oNkFt1u+fBtnzhws0GudPXu2QM8/l63F0vDhw5k8eXKe2+zcuTNf+/7www9ZvXo1W7dudel50dHRREVFZX6fmJhIREQE7du3JywsLF9ZcpOSkkJCQgLt2rUjMDDQbfstitRWrlF7OU9t5Ty1lfPUVudXsqSDadMuvN0ttzShdevGBXqtRDcO5GRrsTR48GB69uyZ5za1atWicuXKHD16NNv61NRUjh8/ft7La6tXr2bPnj2ULVs22/q7776bVq1asXbt2lyfFxwcTHBwcI71gYGBHvnQe2q/RZHayjVqL+eprZyntnKe2iqnNm2genXTmdvK5Sqbw2Eeb9MmAH//gr2WO9ve1mKpYsWKVKxY8YLbtWjRgpMnT7J582aaNm0KmGIoPT2d5s2b5/qc4cOH8+ijj2Zb16hRI6ZPn07nzp0LHl5ERERc4u8PM2aYu94cjuwFU8ZN6889R4ELJXfzibvhLrvsMjp27Ejv3r3ZtGkTX375Jf3796dbt25UrVoVgIMHD1K/fn02bdoEQOXKlbn88suzfQFcfPHF1KxZ07b3IiIiUpzddRe8+y5Uq5Z9ffXqZv1dd9mTKy8+USwBvPHGG9SvX5+bb76ZTp06cf311zN37tzMx1NSUvjpp5/c2qFLRERE3O+uu8yEugkJqURFfUtCQip793pnoQQ+cjccQPny5XnzzTfP+3iNGjWwcrsAeo4LPS4iIiKFw98fWre2OHPmIK1bN/a6S2/n8pkzSyIiIiJ2ULEkIiIikgcVSyIiIiJ5ULEkIiIikgcVSyIiIiJ5ULEkIiIikgcVSyIiIiJ5ULEkIiIikgcVSyIiIiJ58JkRvO2SMep3YmKiW/ebkpLC2bNnSUxM1KzUF6C2co3ay3lqK+eprZyntnKeJ9sq4/e2O2bvULF0AadOnQIgIiLC5iQiIiLiqlOnTlGmTJkC7cNhacK0PKWnp/PHH39QunRpHA6H2/abmJhIREQEBw4cICwszG37LYrUVq5RezlPbeU8tZXz1FbO82RbWZbFqVOnqFq1Kn5+Bet1pDNLF+Dn50f16tU9tv+wsDD9Z3KS2so1ai/nqa2cp7ZyntrKeZ5qq4KeUcqgDt4iIiIieVCxJCIiIpIHFUs2CQ4OJjY2luDgYLujeD21lWvUXs5TWzlPbeU8tZXzfKWt1MFbREREJA86syQiIiKSBxVLIiIiInlQsSQiIiKSBxVLIiIiInlQsfT/Zs2aRY0aNQgJCaF58+Zs2rQp2+Nz587lxhtvJCwsDIfDwcmTJ53a7/79+7n11lsJDQ2lUqVKPP3006SmpmY+fujQIR544AHq1q2Ln58fgwYNcst+AdauXctVV11FcHAwderUYeHChU7t+0J8ra0GDBhA06ZNCQ4OpkmTJjkeX7t2LXfccQdVqlShZMmSNGnShDfeeMOpfTvDrvZaunQp7dq1o2LFioSFhdGiRQs+/fTTC+53+/bttGrVipCQECIiInjmmWdybPPOO+9Qv359QkJCaNSoEcuWLXMq84X4Ulv9+++/9OzZk0aNGhEQEECXLl1ybJPfn4Ez7GqrL774guuuu46LLrqIEiVKUL9+faZPn37B/RbHz1V+2qq4fq7O9eWXXxIQEJDr8fq/CutzpWIJWLJkCVFRUcTGxrJlyxYaN25Mhw4dOHr0aOY2Z8+epWPHjowYMcLp/aalpXHrrbeSnJzMhg0bWLRoEQsXLmT06NGZ2yQlJVGxYkViYmJo3Lix2/a7d+9ebr31Vtq0acO2bdsYNGgQjz76aIH/Q/laW2V45JFH6Nq1a66PbdiwgSuuuIL33nuP7du3ExkZSffu3fn4449deo3c2Nle69evp127dixbtozNmzfTpk0bOnfuzNatW8+738TERNq3b88ll1zC5s2befbZZxkzZgxz587N3GbDhg3cf//99OrVi61bt9KlSxe6dOnC999/72LrZOdrbZWWlkaJEiUYMGAAbdu2zXWb/OzXGXa2VcmSJenfvz/r169n586dxMTEEBMTk+0z8l/F9XOVn7Yqrp+rDCdPnqR79+7cfPPNF9xvoX6uLLGuueYa64knnsj8Pi0tzapataoVHx+fY9s1a9ZYgHXixIkL7nfZsmWWn5+fdfjw4cx1L774ohUWFmYlJSXl2L5169bWwIED3bLfoUOHWg0bNsz2vK5du1odOnS44P7z4mttda7Y2FircePGTm3bqVMnKzIy0qX958Zb2itDgwYNrLi4uPM+Pnv2bKtcuXLZ9jFs2DCrXr16md/fd9991q233prtec2bN7cee+yxC+bOi6+11bl69Ohh3XHHHU5t68p+z8fb2urOO++0HnroofM+rs9Vlgu11bmK4+eqa9euVkxMjFPH68L8XBX7M0vJycls3rw5WwXv5+dH27Zt2bhxY4H2vXHjRho1akR4eHjmug4dOpCYmMgPP/zg0f1u3Lgxx18lHTp0KNB78sW2yq+///6b8uXLF2gf3tZe6enpnDp1Ks/3tXHjRm644QaCgoKy7fenn37ixIkTmdsU9c+WM22VH+7Yr7e11datW9mwYQOtW7fOc7/6XDnXVvlRVD5XCxYs4NdffyU2Ntbp/RbW56rYF0vHjh0jLS0t2w8RIDw8nMOHDxdo34cPH851vxmPeXK/59smMTGRf/75J1+v64ttlR9vv/0233zzDZGRkQXaj7e115QpUzh9+jT33XdfgfZ7vm0K8p58sa3ywx379Za2ql69OsHBwTRr1ownnniCRx99tED7LcqfK1faKj+Kwufql19+Yfjw4bz++usEBAS4bb/u+lwV+2LJXW655RZKlSpFqVKlaNiwod1xvJo3t9WaNWuIjIxk3rx5XpPNHe315ptvEhcXx9tvv02lSpXcnNB7eHNbedvPoKBt9fnnn/Ptt98yZ84cnnvuOd566y0PpPQO3txWReFzlZaWxgMPPEBcXBx169b1cML8ca58K8IqVKiAv78/R44cybb+yJEjVK5c2en9vPzyy5lnbAIDAwGoXLlyjjsJMl7HlX3/lzP7rVy5cq7vKSwsjBIlSuTrdX2xrVyxbt06OnfuzPTp0+nevXuB9+ct7bV48WIeffRR3nnnnfN2GM1wvs/Nufs93zYF+Tn5Ylu5wp379Za2qlmzJgCNGjXiyJEjjBkzhvvvvz/X1yrunytX2soVReVzderUKb799lu2bt1K//79AXNp0bIsAgICWLlyJTfddFOO1yrMz1WxP7MUFBRE06ZNWbVqVea69PR0Vq1aRYsWLZzeT7Vq1ahTpw516tThkksuAaBFixbs2LEj250ECQkJhIWF0aBBg3xndma/LVq0yPaeMrZx5T39ly+2lbPWrl3LrbfeyuTJk+nTp49b9ukN7fXWW28RGRnJW2+9xa233nrB12rRogXr168nJSUl237r1atHuXLlMrcpip8tV9vKWe7erze01X+lp6eTlJR03seL8+fqvy7UVs4qSp+rsLAwduzYwbZt2zK/+vbtS7169di2bRvNmzfP9bUK9XPlUnfwImrx4sVWcHCwtXDhQuvHH3+0+vTpY5UtWzZbz/1Dhw5ZW7dutebNm2cB1vr1662tW7daf/3113n3m5qaal1++eVW+/btrW3btlkrVqywKlasaEVHR2fbbuvWrdbWrVutpk2bWg888IC1detW64cffijQfn/99VcrNDTUevrpp62dO3das2bNsvz9/a0VK1YUoKV8r60sy7J++eUXa+vWrdZjjz1m1a1bN3MfGXdQrF692goNDbWio6OtQ4cOZX7llddZdrbXG2+8YQUEBFizZs3K9r5Onjx53v2ePHnSCg8Ptx5++GHr+++/txYvXmyFhoZaL730UuY2X375pRUQEGBNmTLF2rlzpxUbG2sFBgZaO3bsKFZtZVmW9cMPP1hbt261OnfubN14442Zn62C7vdC7GyrF154wfrwww+tn3/+2fr555+tl19+2SpdurQ1cuTI8+63uH6u8tNWllU8P1f/5czdcIX5uVKx9P+ef/556+KLL7aCgoKsa665xvrqq6+yPR4bG2sBOb4WLFiQ53737dtn3XLLLVaJEiWsChUqWIMHD7ZSUlKybZPbfi+55JIC73fNmjVWkyZNrKCgIKtWrVoXzOosX2ur1q1b5/q8vXv3WpZlbs/N7fHWrVu72DK5s6u9zve+e/Toked+v/vuO+v666+3goODrWrVqlmTJk3Ksc3bb79t1a1b1woKCrIaNmxoffLJJ063R158ra0uueSSXJ9X0P06w662mjlzptWwYUMrNDTUCgsLs6688kpr9uzZVlpaWp77LY6fq/y2VXH8XP2Xs0O9FNbnymFZluXcOSgRERGR4qfY91kSERERyYuKJREREZE8qFgSERERyYOKJREREZE8qFgSERERyYOKJREREZE8qFgSERERyYOKJREREZE8qFgSEZ/Ws2dPHA4HDoeDwMBAwsPDadeuHfPnzyc9Pd3p/SxcuJCyZct6LqiI+CwVSyLi8zp27MihQ4fYt28fy5cvp02bNgwcOJDbbruN1NRUu+OJiI9TsSQiPi84OJjKlStTrVo1rrrqKkaMGMEHH3zA8uXLWbhwIQDTpk2jUaNGlCxZkoiICB5//HFOnz4NwNq1a4mMjOTvv//OPEs1ZswYAJKSkhgyZAjVqlWjZMmSNG/enLVr19rzRkXEFiqWRKRIuummm2jcuDFLly4FwM/Pj5kzZ/LDDz+waNEiVq9ezdChQwFo2bIlzz33HGFhYRw6dIhDhw4xZMgQAPr378/GjRtZvHgx27dv595776Vjx4788ssvtr03ESlcmkhXRHxaz549OXnyJO+//36Ox7p168b27dv58ccfczz27rvv0rdvX44dOwaYPkuDBg3i5MmTmdvs37+fWrVqsX//fqpWrZq5vm3btlxzzTVMnDjR7e9HRLxPgN0BREQ8xbIsHA4HAJ999hnx8fHs2rWLxMREUlNT+ffffzl79iyhoaG5Pn/Hjh2kpaVRt27dbOuTkpK46KKLPJ5fRLyDiiURKbJ27txJzZo12bdvH7fddhv9+vVjwoQJlC9fni+++IJevXqRnJx83mLp9OnT+Pv7s3nzZvz9/bM9VqpUqcJ4CyLiBVQsiUiRtHr1anbs2MFTTz3F5s2bSU9PZ+rUqfj5ma6ab7/9drbtg4KCSEtLy7buyiuvJC0tjaNHj9KqVatCyy4i3kXFkoj4vKSkJA4fPkxaWhpHjhxhxYoVxMfHc9ttt9G9e3e+//57UlJSeP755+ncuTNffvklc+bMybaPGjVqcPr0aVatWkXjxo0JDQ2lbt26PPjgg3Tv3p2pU6dy5ZVX8ueff7Jq1SquuOIKbr31VpvesYgUJt0NJyI+b8WKFVSpUoUaNWrQsWNH1qxZw8yZM/nggw/w9/encePGTJs2jcmTJ3P55ZfzxhtvEB8fn20fLVu2pG/fvnTt2pWKFSvyzDPPALBgwQK6d+/O4MGDqVevHl26dOGbb77h4osvtuOtiogNdDeciIiISB50ZklEREQkDyqWRERERPKgYklEREQkDyqWRERERPKgYklEREQkDyqWRERERPKgYklEREQkDyqWRERERPKgYklEREQkDyqWRERERPKgYklEREQkDyqWRERERPLwf1YcF6XCEd9SAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "most common words used in positive, negative, and neutral reviews with a word cloud."
      ],
      "metadata": {
        "id": "NeraQJU3pmsK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from wordcloud import WordCloud\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Sample data: Positive, Negative, and Neutral reviews (text data)\n",
        "positive_reviews = 'happy great amazing love awesome fantastic'\n",
        "negative_reviews = 'bad terrible horrible worst awful frustrating'\n",
        "neutral_reviews = 'okay fine average good'\n",
        "\n",
        "# Generate word clouds\n",
        "positive_wc = WordCloud().generate(positive_reviews)\n",
        "negative_wc = WordCloud().generate(negative_reviews)\n",
        "neutral_wc = WordCloud().generate(neutral_reviews)\n",
        "\n",
        "# Plot word clouds\n",
        "plt.figure(figsize=(15,5))\n",
        "plt.subplot(1, 3, 1)\n",
        "plt.imshow(positive_wc, interpolation='bilinear')\n",
        "plt.title('Positive Sentiment')\n",
        "plt.axis('off')\n",
        "\n",
        "plt.subplot(1, 3, 2)\n",
        "plt.imshow(negative_wc, interpolation='bilinear')\n",
        "plt.title('Negative Sentiment')\n",
        "plt.axis('off')\n",
        "\n",
        "plt.subplot(1, 3, 3)\n",
        "plt.imshow(neutral_wc, interpolation='bilinear')\n",
        "plt.title('Neutral Sentiment')\n",
        "plt.axis('off')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 230
        },
        "id": "TxOfOHbNpnSq",
        "outputId": "ff9b7160-be41-4f17-b1d2-d00491fda716"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Confusion Matrix"
      ],
      "metadata": {
        "id": "RDGONL1Pps8y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Sample data: True labels and predicted labels\n",
        "true_labels = ['positive', 'negative', 'positive', 'neutral', 'negative']\n",
        "predicted_labels = ['positive', 'negative', 'neutral', 'neutral', 'negative']\n",
        "\n",
        "cm = confusion_matrix(true_labels, predicted_labels, labels=['positive', 'negative', 'neutral'])\n",
        "\n",
        "# Heatmap of confusion matrix\n",
        "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=['Positive', 'Negative', 'Neutral'],\n",
        "            yticklabels=['Positive', 'Negative', 'Neutral'])\n",
        "plt.title('Confusion Matrix')\n",
        "plt.xlabel('Predicted Labels')\n",
        "plt.ylabel('True Labels')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "Gvzrzl2iputS",
        "outputId": "4f7350cb-341e-4581-fbf8-407e133b9b6b"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Sentiment distribution (positive, negative, neutral) for each product or category"
      ],
      "metadata": {
        "id": "I4lTtfWTpzay"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "# Sample data: Categories and their sentiment counts\n",
        "data = {'Category': ['Product A', 'Product B', 'Product C'],\n",
        "        'Positive': [150, 80, 120],\n",
        "        'Negative': [30, 40, 50],\n",
        "        'Neutral': [20, 30, 40]}\n",
        "\n",
        "df = pd.DataFrame(data)\n",
        "\n",
        "# Plotting stacked bar graph\n",
        "df.set_index('Category').plot(kind='bar', stacked=True, color=['#4CAF50', '#F44336', '#FFC107'])\n",
        "plt.title('Sentiment Distribution by Product')\n",
        "plt.xlabel('Product Category')\n",
        "plt.ylabel('Sentiment Count')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 515
        },
        "id": "_9SWz_jkp0GB",
        "outputId": "6d17265b-6525-4069-fcfd-ed34db05167b"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from collections import Counter\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Example word frequencies for positive sentiment\n",
        "positive_words = ['great', 'love', 'awesome', 'good', 'fantastic', 'great', 'good', 'fantastic']\n",
        "word_counts = Counter(positive_words)\n",
        "\n",
        "# Plotting bar chart for word frequencies\n",
        "words, counts = zip(*word_counts.items())\n",
        "plt.bar(words, counts)\n",
        "plt.title('Most Frequent Words in Positive Sentiments')\n",
        "plt.xlabel('Words')\n",
        "plt.ylabel('Frequency')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        },
        "id": "pR8jJU2lqBFr",
        "outputId": "8b463af6-3461-4c26-9c12-902adf49b7b1"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}