ChatBot_NLP.ipynb

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      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
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      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.5"
    },
    "colab": {
      "name": "ChatBot-NLP.ipynb",
      "provenance": []
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YSWgOPUYk3a1",
        "outputId": "c24298a0-17b3-4e08-c2ec-c544e8fa5a72"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i0MkwIF8lG0I",
        "outputId": "574b59ef-f787-4f91-cbb6-a5c8136d4894"
      },
      "source": [
        "cd drive/My\\ Drive/ChatBot-NLP"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/My Drive/ChatBot-NLP\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C3wm9S9wl51_",
        "outputId": "11b30e2b-518f-4dbb-c599-55442259d468"
      },
      "source": [
        "ls"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ChatBot-NLP.ipynb  dialogs-data.txt\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jMFYd5n2mL_X",
        "outputId": "b197b325-6a70-4d97-8a91-41ec7d6f8933"
      },
      "source": [
        "pip install nlp_utils"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting nlp_utils\n",
            "  Downloading nlp_utils-0.6.2-py2.py3-none-any.whl (112 kB)\n",
            "\u001b[?25l\r\u001b[K     |███                             | 10 kB 22.0 MB/s eta 0:00:01\r\u001b[K     |█████▉                          | 20 kB 26.2 MB/s eta 0:00:01\r\u001b[K     |████████▊                       | 30 kB 12.7 MB/s eta 0:00:01\r\u001b[K     |███████████▋                    | 40 kB 9.9 MB/s eta 0:00:01\r\u001b[K     |██████████████▌                 | 51 kB 5.1 MB/s eta 0:00:01\r\u001b[K     |█████████████████▌              | 61 kB 5.5 MB/s eta 0:00:01\r\u001b[K     |████████████████████▍           | 71 kB 5.9 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▎        | 81 kB 6.5 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▏     | 92 kB 6.5 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████   | 102 kB 5.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 112 kB 5.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 112 kB 5.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: nltk in /usr/local/lib/python3.7/dist-packages (from nlp_utils) (3.2.5)\n",
            "Collecting micro-toolkit\n",
            "  Downloading micro_toolkit-0.9.0-py2.py3-none-any.whl (9.3 kB)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from nlp_utils) (1.19.5)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from nltk->nlp_utils) (1.15.0)\n",
            "Installing collected packages: micro-toolkit, nlp-utils\n",
            "Successfully installed micro-toolkit-0.9.0 nlp-utils-0.6.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8995KbZwiTEP"
      },
      "source": [
        "#libraries required for the model\n",
        "import nltk\n",
        "import string\n",
        "import pandas as pd\n",
        "import nlp_utils as nu\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GvXJRAaeiTEU",
        "outputId": "f74d4f04-dce8-4db0-f24a-f4be2b1c8edf"
      },
      "source": [
        "#reading the data \n",
        "f = open(\"dialogs-data.txt\", \"r\")\n",
        "\n",
        "#to print data upto specific lines\n",
        "nl = 10 #no. of lines\n",
        "\n",
        "for i in range(nl):\n",
        "    l = f.readline()\n",
        "    print(l)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "hi, how are you doing?\ti'm fine. how about yourself?\n",
            "\n",
            "i'm fine. how about yourself?\ti'm pretty good. thanks for asking.\n",
            "\n",
            "i'm pretty good. thanks for asking.\tno problem. so how have you been?\n",
            "\n",
            "no problem. so how have you been?\ti've been great. what about you?\n",
            "\n",
            "i've been great. what about you?\ti've been good. i'm in school right now.\n",
            "\n",
            "i've been good. i'm in school right now.\twhat school do you go to?\n",
            "\n",
            "what school do you go to?\ti go to pcc.\n",
            "\n",
            "i go to pcc.\tdo you like it there?\n",
            "\n",
            "do you like it there?\tit's okay. it's a really big campus.\n",
            "\n",
            "it's okay. it's a really big campus.\tgood luck with school.\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "czDNCrXuiTEW",
        "outputId": "8e723564-9245-472b-856c-319d7aa2dac7"
      },
      "source": [
        "#reading the data \n",
        "df=pd.read_csv('dialogs-data.txt',names=('Query','Response'),sep=('\\t'))\n",
        "df"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Query</th>\n",
              "      <th>Response</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>hi, how are you doing?</td>\n",
              "      <td>i'm fine. how about yourself?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>i'm fine. how about yourself?</td>\n",
              "      <td>i'm pretty good. thanks for asking.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>i'm pretty good. thanks for asking.</td>\n",
              "      <td>no problem. so how have you been?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>no problem. so how have you been?</td>\n",
              "      <td>i've been great. what about you?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>i've been great. what about you?</td>\n",
              "      <td>i've been good. i'm in school right now.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3720</th>\n",
              "      <td>that's a good question. maybe it's not old age.</td>\n",
              "      <td>are you right-handed?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3721</th>\n",
              "      <td>are you right-handed?</td>\n",
              "      <td>yes. all my life.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3722</th>\n",
              "      <td>yes. all my life.</td>\n",
              "      <td>you're wearing out your right hand. stop using...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3723</th>\n",
              "      <td>you're wearing out your right hand. stop using...</td>\n",
              "      <td>but i do all my writing with my right hand.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3724</th>\n",
              "      <td>but i do all my writing with my right hand.</td>\n",
              "      <td>start typing instead. that way your left hand ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3725 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  Query                                           Response\n",
              "0                                hi, how are you doing?                      i'm fine. how about yourself?\n",
              "1                         i'm fine. how about yourself?                i'm pretty good. thanks for asking.\n",
              "2                   i'm pretty good. thanks for asking.                  no problem. so how have you been?\n",
              "3                     no problem. so how have you been?                   i've been great. what about you?\n",
              "4                      i've been great. what about you?           i've been good. i'm in school right now.\n",
              "...                                                 ...                                                ...\n",
              "3720    that's a good question. maybe it's not old age.                              are you right-handed?\n",
              "3721                              are you right-handed?                                  yes. all my life.\n",
              "3722                                  yes. all my life.  you're wearing out your right hand. stop using...\n",
              "3723  you're wearing out your right hand. stop using...        but i do all my writing with my right hand.\n",
              "3724        but i do all my writing with my right hand.  start typing instead. that way your left hand ...\n",
              "\n",
              "[3725 rows x 2 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zD6eSOaroUZN"
      },
      "source": [
        "**DATA UNDERSTANDING**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZFBKH01biTEZ",
        "outputId": "4d8667ca-2d45-4cd2-90d9-1abc3676001a"
      },
      "source": [
        "#to know the shape of the data\n",
        "df.shape"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3725, 2)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HIV3pebOiTEa",
        "outputId": "263ac92e-d033-4ec8-988e-c26b7730b3ff"
      },
      "source": [
        "#displaying the names of columns in the data\n",
        "df.columns"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Query', 'Response'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xq4-72HPiTEb",
        "outputId": "578dca91-705a-4b72-aabb-557d6afe8ba4"
      },
      "source": [
        "#to get information about the data\n",
        "df.info()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 3725 entries, 0 to 3724\n",
            "Data columns (total 2 columns):\n",
            " #   Column    Non-Null Count  Dtype \n",
            "---  ------    --------------  ----- \n",
            " 0   Query     3725 non-null   object\n",
            " 1   Response  3725 non-null   object\n",
            "dtypes: object(2)\n",
            "memory usage: 58.3+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "JAW5Nr_kiTEb",
        "outputId": "ab083bf2-31c0-4a61-8bcc-a920cef399b7"
      },
      "source": [
        "#it shows us the frequency,unique and counts of all columns\n",
        "df.describe()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Query</th>\n",
              "      <th>Response</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>3725</td>\n",
              "      <td>3725</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>3510</td>\n",
              "      <td>3512</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>what do you mean?</td>\n",
              "      <td>what do you mean?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>22</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    Query           Response\n",
              "count                3725               3725\n",
              "unique               3510               3512\n",
              "top     what do you mean?  what do you mean?\n",
              "freq                   22                 22"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_QMSKgidiTEc",
        "outputId": "53e838c1-2ebf-4846-be5e-4e274c2560fa"
      },
      "source": [
        "#this returns number of unique elements in the data\n",
        "df.nunique() "
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Query       3510\n",
              "Response    3512\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fCNn2tbRiTEd",
        "outputId": "4437d0db-1f59-4913-a11b-ec123ab9fe2b"
      },
      "source": [
        "#checking if null values are there in the data\n",
        "df.isnull().sum()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Query       0\n",
              "Response    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uALoHLeciTEd",
        "outputId": "24dcda24-f744-4631-decd-0ad4588ddfc5"
      },
      "source": [
        "#checking the counts of the values present in the column 'Query'\n",
        "df['Query'].value_counts()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "what do you mean?                         22\n",
              "why not?                                  16\n",
              "what happened?                            10\n",
              "why is that?                               9\n",
              "me too.                                    7\n",
              "                                          ..\n",
              "we also get leather.                       1\n",
              "then we went to a jazz club.               1\n",
              "i've got to go.                            1\n",
              "i really missed you a lot.                 1\n",
              "i don't want to see a movie by myself.     1\n",
              "Name: Query, Length: 3510, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZI1Ojf6viTEe",
        "outputId": "0f16570e-7ac2-4b37-ff8f-7092b4ed8af7"
      },
      "source": [
        "#checking the counts of the values present in the column 'Response'\n",
        "df['Response'].value_counts()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "what do you mean?                         22\n",
              "why not?                                  16\n",
              "what happened?                            10\n",
              "why is that?                               9\n",
              "of course.                                 8\n",
              "                                          ..\n",
              "well, i can always pull over.              1\n",
              "i'll look for you at my next party.        1\n",
              "yes. a cow is man's best friend.           1\n",
              "yes, it is. but it still looks good.       1\n",
              "i don't want to see a movie by myself.     1\n",
              "Name: Response, Length: 3512, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HwjtdFPXiTEe"
      },
      "source": [
        "**DATA VISUALIZATION**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0WvxL_Dsqspa"
      },
      "source": [
        "import nltk\n",
        "nltk.download('all')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fIzs9jy4iTEf"
      },
      "source": [
        "#it is a model used for text sentiment analysis that is sensitive to both polarity (positive/negative) and intensity (strength) of emotion\n",
        "from nltk.sentiment.vader import SentimentIntensityAnalyzer"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Vcjd0uf2iTEg"
      },
      "source": [
        "text=df['Query']"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VgRsQjDNiTEh",
        "outputId": "e99ebe9c-657b-47f1-8fe5-f02c87bbf132"
      },
      "source": [
        "sid = SentimentIntensityAnalyzer()\n",
        "\n",
        "count=0\n",
        "\n",
        "for sentence in text:\n",
        "    print(sentence)\n",
        "        \n",
        "    ss = sid.polarity_scores(sentence)\n",
        "    for k in ss:\n",
        "          print('{0}: {1}, ' .format(k, ss[k]), end='')\n",
        "    print()\n",
        "    count+=1\n",
        "    if count==10: #displaying first 10 lines from the data\n",
        "      break"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "hi, how are you doing?\n",
            "neg: 0.0, neu: 1.0, pos: 0.0, compound: 0.0, \n",
            "i'm fine. how about yourself?\n",
            "neg: 0.0, neu: 0.69, pos: 0.31, compound: 0.2023, \n",
            "i'm pretty good. thanks for asking.\n",
            "neg: 0.0, neu: 0.25, pos: 0.75, compound: 0.8402, \n",
            "no problem. so how have you been?\n",
            "neg: 0.495, neu: 0.505, pos: 0.0, compound: -0.5994, \n",
            "i've been great. what about you?\n",
            "neg: 0.0, neu: 0.549, pos: 0.451, compound: 0.6249, \n",
            "i've been good. i'm in school right now.\n",
            "neg: 0.0, neu: 0.707, pos: 0.293, compound: 0.4404, \n",
            "what school do you go to?\n",
            "neg: 0.0, neu: 1.0, pos: 0.0, compound: 0.0, \n",
            "i go to pcc.\n",
            "neg: 0.0, neu: 1.0, pos: 0.0, compound: 0.0, \n",
            "do you like it there?\n",
            "neg: 0.0, neu: 0.615, pos: 0.385, compound: 0.3612, \n",
            "it's okay. it's a really big campus.\n",
            "neg: 0.0, neu: 0.725, pos: 0.275, compound: 0.2263, \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "irpyU2nQiTEi",
        "outputId": "c63ca905-5760-4f92-8274-33c0d011ad6e"
      },
      "source": [
        "#creating a dataframe\n",
        "analyzer = SentimentIntensityAnalyzer()\n",
        "df['rating'] = text.apply(analyzer.polarity_scores)\n",
        "df=pd.concat([df.drop(['rating'], axis=1), df['rating'].apply(pd.Series)], axis=1)\n",
        "df"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Query</th>\n",
              "      <th>Response</th>\n",
              "      <th>neg</th>\n",
              "      <th>neu</th>\n",
              "      <th>pos</th>\n",
              "      <th>compound</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>hi, how are you doing?</td>\n",
              "      <td>i'm fine. how about yourself?</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>i'm fine. how about yourself?</td>\n",
              "      <td>i'm pretty good. thanks for asking.</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.690</td>\n",
              "      <td>0.310</td>\n",
              "      <td>0.2023</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>i'm pretty good. thanks for asking.</td>\n",
              "      <td>no problem. so how have you been?</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.250</td>\n",
              "      <td>0.750</td>\n",
              "      <td>0.8402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>no problem. so how have you been?</td>\n",
              "      <td>i've been great. what about you?</td>\n",
              "      <td>0.495</td>\n",
              "      <td>0.505</td>\n",
              "      <td>0.000</td>\n",
              "      <td>-0.5994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>i've been great. what about you?</td>\n",
              "      <td>i've been good. i'm in school right now.</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.549</td>\n",
              "      <td>0.451</td>\n",
              "      <td>0.6249</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3720</th>\n",
              "      <td>that's a good question. maybe it's not old age.</td>\n",
              "      <td>are you right-handed?</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.707</td>\n",
              "      <td>0.293</td>\n",
              "      <td>0.4404</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3721</th>\n",
              "      <td>are you right-handed?</td>\n",
              "      <td>yes. all my life.</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3722</th>\n",
              "      <td>yes. all my life.</td>\n",
              "      <td>you're wearing out your right hand. stop using...</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.526</td>\n",
              "      <td>0.474</td>\n",
              "      <td>0.4019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3723</th>\n",
              "      <td>you're wearing out your right hand. stop using...</td>\n",
              "      <td>but i do all my writing with my right hand.</td>\n",
              "      <td>0.153</td>\n",
              "      <td>0.625</td>\n",
              "      <td>0.222</td>\n",
              "      <td>0.2500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3724</th>\n",
              "      <td>but i do all my writing with my right hand.</td>\n",
              "      <td>start typing instead. that way your left hand ...</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.650</td>\n",
              "      <td>0.350</td>\n",
              "      <td>0.6486</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3725 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  Query  ... compound\n",
              "0                                hi, how are you doing?  ...   0.0000\n",
              "1                         i'm fine. how about yourself?  ...   0.2023\n",
              "2                   i'm pretty good. thanks for asking.  ...   0.8402\n",
              "3                     no problem. so how have you been?  ...  -0.5994\n",
              "4                      i've been great. what about you?  ...   0.6249\n",
              "...                                                 ...  ...      ...\n",
              "3720    that's a good question. maybe it's not old age.  ...   0.4404\n",
              "3721                              are you right-handed?  ...   0.0000\n",
              "3722                                  yes. all my life.  ...   0.4019\n",
              "3723  you're wearing out your right hand. stop using...  ...   0.2500\n",
              "3724        but i do all my writing with my right hand.  ...   0.6486\n",
              "\n",
              "[3725 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JCRFYgQYiTEk"
      },
      "source": [
        "#importing word cloud - a visual representation of words\n",
        "from wordcloud import WordCloud"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IiX2vGaGiTEl"
      },
      "source": [
        "#visualising wordcloud   \n",
        "def wordcloud(df, label):\n",
        "    \n",
        "    subset=df[df[label]==1]\n",
        "    text=df.Query.values\n",
        "    wc= WordCloud(background_color=\"black\",max_words=1000)\n",
        "\n",
        "    wc.generate(\" \".join(text))\n",
        "\n",
        "    plt.figure(figsize=(20,20))\n",
        "    plt.subplot(221)\n",
        "    plt.axis(\"off\")\n",
        "    plt.title(\"Words frequented in {}\".format(label), fontsize=20)\n",
        "    plt.imshow(wc.recolor(colormap= 'gist_earth' , random_state=244), alpha=0.98) "
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "LKgaYE9qiTEn",
        "outputId": "638dfea5-edaf-45ad-feab-55ae9ea4c9b2"
      },
      "source": [
        "#top words in the 'Query' column\n",
        "wordcloud(df,'Query')"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "RCTbKuZhiTEo",
        "outputId": "745671b9-255d-4876-a2af-e1604a925df2"
      },
      "source": [
        "#top words in the 'Response' column\n",
        "wordcloud(df,'Response')"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "s72Bpr5ziTEo"
      },
      "source": [
        "**TEXT NORMALIZATION**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FmrLxeKViTEp"
      },
      "source": [
        "#importing regular expressions to detect and remove special characters\n",
        "import re"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "Lr0hBgB7iTEp",
        "outputId": "6ed02003-b456-45e2-e640-424b4ca81c77"
      },
      "source": [
        "#lower case conversion\n",
        "punc_lower = lambda x: re.sub('[%s]' % re.escape(string.punctuation), ' ', x.lower())\n",
        "\n",
        "#removing \\n and replacing them with empty value\n",
        "remove_n = lambda x: re.sub(\"\\n\", \" \", x)\n",
        "\n",
        "#removing non-ASCII characters\n",
        "remove_non_ascii = lambda x: re.sub(r'[^\\x00-\\x7f]',r' ', x)\n",
        "\n",
        "#removing alpha numeric values\n",
        "alphanumeric = lambda x: re.sub('\\w*\\d\\w*', ' ', x)\n",
        "\n",
        "#using map function and applying the function on 'Query' column\n",
        "df['Query'] = df['Query'].map(alphanumeric).map(punc_lower).map(remove_n).map(remove_non_ascii)\n",
        "\n",
        "#using map function and applying the function on 'Response' column\n",
        "df['Response'] = df['Response'].map(alphanumeric).map(punc_lower).map(remove_n).map(remove_non_ascii)\n",
        "\n",
        "df #cleaned data"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Query</th>\n",
              "      <th>Response</th>\n",
              "      <th>neg</th>\n",
              "      <th>neu</th>\n",
              "      <th>pos</th>\n",
              "      <th>compound</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>hi  how are you doing</td>\n",
              "      <td>i m fine  how about yourself</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>i m fine  how about yourself</td>\n",
              "      <td>i m pretty good  thanks for asking</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.690</td>\n",
              "      <td>0.310</td>\n",
              "      <td>0.2023</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>i m pretty good  thanks for asking</td>\n",
              "      <td>no problem  so how have you been</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.250</td>\n",
              "      <td>0.750</td>\n",
              "      <td>0.8402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>no problem  so how have you been</td>\n",
              "      <td>i ve been great  what about you</td>\n",
              "      <td>0.495</td>\n",
              "      <td>0.505</td>\n",
              "      <td>0.000</td>\n",
              "      <td>-0.5994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>i ve been great  what about you</td>\n",
              "      <td>i ve been good  i m in school right now</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.549</td>\n",
              "      <td>0.451</td>\n",
              "      <td>0.6249</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3720</th>\n",
              "      <td>that s a good question  maybe it s not old age</td>\n",
              "      <td>are you right handed</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.707</td>\n",
              "      <td>0.293</td>\n",
              "      <td>0.4404</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3721</th>\n",
              "      <td>are you right handed</td>\n",
              "      <td>yes  all my life</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3722</th>\n",
              "      <td>yes  all my life</td>\n",
              "      <td>you re wearing out your right hand  stop using...</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.526</td>\n",
              "      <td>0.474</td>\n",
              "      <td>0.4019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3723</th>\n",
              "      <td>you re wearing out your right hand  stop using...</td>\n",
              "      <td>but i do all my writing with my right hand</td>\n",
              "      <td>0.153</td>\n",
              "      <td>0.625</td>\n",
              "      <td>0.222</td>\n",
              "      <td>0.2500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3724</th>\n",
              "      <td>but i do all my writing with my right hand</td>\n",
              "      <td>start typing instead  that way your left hand ...</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.650</td>\n",
              "      <td>0.350</td>\n",
              "      <td>0.6486</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3725 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  Query  ... compound\n",
              "0                                hi  how are you doing   ...   0.0000\n",
              "1                         i m fine  how about yourself   ...   0.2023\n",
              "2                   i m pretty good  thanks for asking   ...   0.8402\n",
              "3                     no problem  so how have you been   ...  -0.5994\n",
              "4                      i ve been great  what about you   ...   0.6249\n",
              "...                                                 ...  ...      ...\n",
              "3720    that s a good question  maybe it s not old age   ...   0.4404\n",
              "3721                              are you right handed   ...   0.0000\n",
              "3722                                  yes  all my life   ...   0.4019\n",
              "3723  you re wearing out your right hand  stop using...  ...   0.2500\n",
              "3724        but i do all my writing with my right hand   ...   0.6486\n",
              "\n",
              "[3725 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nG3uftpPiTEw"
      },
      "source": [
        "**IMPORTANT SENTENCE**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZGipvzsyiTEy"
      },
      "source": [
        "#arranging the compound column in descending order to find the best sentence \n",
        "imp_sent=df.sort_values(by='compound', ascending=False)"
      ],
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "L-k0keuIiTEz",
        "outputId": "34beaf1f-c777-4e1e-fd97-1d088660358e"
      },
      "source": [
        "#printing the first 5 rows\n",
        "imp_sent.head(5)"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Query</th>\n",
              "      <th>Response</th>\n",
              "      <th>neg</th>\n",
              "      <th>neu</th>\n",
              "      <th>pos</th>\n",
              "      <th>compound</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1019</th>\n",
              "      <td>if we are good  we will be happy in heaven wit...</td>\n",
              "      <td>that s what many people believe</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.400</td>\n",
              "      <td>0.600</td>\n",
              "      <td>0.9001</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>565</th>\n",
              "      <td>yeah  it sounds like it s going to be the best...</td>\n",
              "      <td>exactly  it seems like it s going to be loads ...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.463</td>\n",
              "      <td>0.537</td>\n",
              "      <td>0.8910</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1235</th>\n",
              "      <td>that is a lot of friends  do you have a best f...</td>\n",
              "      <td>of course  i have lots of best friends</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.400</td>\n",
              "      <td>0.600</td>\n",
              "      <td>0.8885</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3414</th>\n",
              "      <td>well  that s okay  as long as it helps him rel...</td>\n",
              "      <td>yes  we need a relaxed president who thinks cl...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.419</td>\n",
              "      <td>0.581</td>\n",
              "      <td>0.8883</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3470</th>\n",
              "      <td>so it s better to save money than to have an h...</td>\n",
              "      <td>well  the democratic party says it was an hone...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.482</td>\n",
              "      <td>0.518</td>\n",
              "      <td>0.8651</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  Query  ... compound\n",
              "1019  if we are good  we will be happy in heaven wit...  ...   0.9001\n",
              "565   yeah  it sounds like it s going to be the best...  ...   0.8910\n",
              "1235  that is a lot of friends  do you have a best f...  ...   0.8885\n",
              "3414  well  that s okay  as long as it helps him rel...  ...   0.8883\n",
              "3470  so it s better to save money than to have an h...  ...   0.8651\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e9sFja-GiTE0"
      },
      "source": [
        "**TOP POSITIVE SENTENCE**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5dUyArwxiTE1"
      },
      "source": [
        "#arranging the dataframe by positive column in descending order to find the best postive sentence\n",
        "pos_sent=df.sort_values(by='pos', ascending=False)"
      ],
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "hDy88VcOiTE1",
        "outputId": "00efc2a7-42da-4956-d174-329ea0456844"
      },
      "source": [
        "#printing the first 5 rows\n",
        "pos_sent.head(5)"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Query</th>\n",
              "      <th>Response</th>\n",
              "      <th>neg</th>\n",
              "      <th>neu</th>\n",
              "      <th>pos</th>\n",
              "      <th>compound</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1659</th>\n",
              "      <td>please</td>\n",
              "      <td>you know the rules</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.3182</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1191</th>\n",
              "      <td>yes</td>\n",
              "      <td>no  that s incomplete</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.4019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>223</th>\n",
              "      <td>well  congratulations</td>\n",
              "      <td>thank you</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.7184</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2745</th>\n",
              "      <td>i agree</td>\n",
              "      <td>you never know what might happen on these free...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.3612</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3583</th>\n",
              "      <td>sure</td>\n",
              "      <td>thank you</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.3182</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                       Query  ... compound\n",
              "1659                 please   ...   0.3182\n",
              "1191                    yes   ...   0.4019\n",
              "223   well  congratulations   ...   0.7184\n",
              "2745                i agree   ...   0.3612\n",
              "3583                   sure   ...   0.3182\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yavP8tjQiTE2"
      },
      "source": [
        "**TOP NEGATIVE SENTENCE**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1kpK028wiTE3"
      },
      "source": [
        "#arranging the dataframe by negative column in descending order to find the best negative sentence\n",
        "neg_sent=df.sort_values(by='neg', ascending=False)"
      ],
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "-TJX3aYYiTE4",
        "outputId": "a5b7f183-5898-476d-dbd2-3aa32d7b9c0b"
      },
      "source": [
        "#printing the first 5 rows\n",
        "neg_sent.head(5)"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Query</th>\n",
              "      <th>Response</th>\n",
              "      <th>neg</th>\n",
              "      <th>neu</th>\n",
              "      <th>pos</th>\n",
              "      <th>compound</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1294</th>\n",
              "      <td>no</td>\n",
              "      <td>how do you know</td>\n",
              "      <td>1.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.2960</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2378</th>\n",
              "      <td>no</td>\n",
              "      <td>he had dirty fingernails</td>\n",
              "      <td>1.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.2960</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>no problem</td>\n",
              "      <td>did you need something</td>\n",
              "      <td>1.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.5994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3095</th>\n",
              "      <td>no  i hate vegetables</td>\n",
              "      <td>but you eat fruits</td>\n",
              "      <td>0.855</td>\n",
              "      <td>0.145</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.7096</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>never better  thanks</td>\n",
              "      <td>so how have you been lately</td>\n",
              "      <td>0.828</td>\n",
              "      <td>0.172</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.5875</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                       Query                      Response  ...  pos  compound\n",
              "1294                     no               how do you know   ...  0.0   -0.2960\n",
              "2378                     no      he had dirty fingernails   ...  0.0   -0.2960\n",
              "154              no problem        did you need something   ...  0.0   -0.5994\n",
              "3095  no  i hate vegetables            but you eat fruits   ...  0.0   -0.7096\n",
              "13     never better  thanks   so how have you been lately   ...  0.0   -0.5875\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GSMvwIg6iTE5"
      },
      "source": [
        "**TOP NEUTRAL SENTENCE**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JFCajkshiTE6"
      },
      "source": [
        "#arranging the dataframe by neutral column in descending order to find the best neutral sentence\n",
        "neu_sent=df.sort_values(by='neu', ascending=False)"
      ],
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "ejFt0-0ziTE6",
        "outputId": "16477f79-dd13-4235-b326-a20c015fb46f"
      },
      "source": [
        "#printing the first 5 rows\n",
        "neu_sent.head(5)"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Query</th>\n",
              "      <th>Response</th>\n",
              "      <th>neg</th>\n",
              "      <th>neu</th>\n",
              "      <th>pos</th>\n",
              "      <th>compound</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>hi  how are you doing</td>\n",
              "      <td>i m fine  how about yourself</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3050</th>\n",
              "      <td>we get hamburgers and steak</td>\n",
              "      <td>oh  that s so delicious</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1596</th>\n",
              "      <td>what is gravity</td>\n",
              "      <td>it s the force that pulls everything down</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1597</th>\n",
              "      <td>it s the force that pulls everything down</td>\n",
              "      <td>i don t understand</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1598</th>\n",
              "      <td>i don t understand</td>\n",
              "      <td>if you pour water into a glass  the water goes...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           Query  ... compound\n",
              "0                         hi  how are you doing   ...      0.0\n",
              "3050                we get hamburgers and steak   ...      0.0\n",
              "1596                            what is gravity   ...      0.0\n",
              "1597  it s the force that pulls everything down   ...      0.0\n",
              "1598                         i don t understand   ...      0.0\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5CWbDtVKiTE7"
      },
      "source": [
        "#importing tfidf vectorizer\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer"
      ],
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AO5LvzIfiTE7",
        "outputId": "859f88b9-abdc-4c8d-c7e5-90872ecead61"
      },
      "source": [
        "#word Embedding - TF-IDF\n",
        "tfidf = TfidfVectorizer()\n",
        "\n",
        "#changing column into array\n",
        "factors = tfidf.fit_transform(df['Query']).toarray()\n",
        "\n",
        "#displaying feature names\n",
        "tfidf.get_feature_names()"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['able',\n",
              " 'about',\n",
              " 'absolutely',\n",
              " 'accident',\n",
              " 'accidents',\n",
              " 'aches',\n",
              " 'across',\n",
              " 'act',\n",
              " 'action',\n",
              " 'activities',\n",
              " 'actor',\n",
              " 'actors',\n",
              " 'actress',\n",
              " 'actually',\n",
              " 'add',\n",
              " 'added',\n",
              " 'adding',\n",
              " 'address',\n",
              " 'ads',\n",
              " 'adventure',\n",
              " 'afford',\n",
              " 'afraid',\n",
              " 'after',\n",
              " 'afternoon',\n",
              " 'afterwards',\n",
              " 'again',\n",
              " 'against',\n",
              " 'age',\n",
              " 'ago',\n",
              " 'agree',\n",
              " 'ahead',\n",
              " 'aid',\n",
              " 'aids',\n",
              " 'air',\n",
              " 'airport',\n",
              " 'aisle',\n",
              " 'alarm',\n",
              " 'alice',\n",
              " 'alive',\n",
              " 'all',\n",
              " 'allergic',\n",
              " 'alley',\n",
              " 'allow',\n",
              " 'allowed',\n",
              " 'almost',\n",
              " 'alone',\n",
              " 'along',\n",
              " 'already',\n",
              " 'also',\n",
              " 'altitude',\n",
              " 'always',\n",
              " 'am',\n",
              " 'amateur',\n",
              " 'amazing',\n",
              " 'american',\n",
              " 'an',\n",
              " 'and',\n",
              " 'andy',\n",
              " 'angeles',\n",
              " 'angry',\n",
              " 'animal',\n",
              " 'animals',\n",
              " 'anita',\n",
              " 'anniversary',\n",
              " 'another',\n",
              " 'answer',\n",
              " 'answered',\n",
              " 'antenna',\n",
              " 'any',\n",
              " 'anymore',\n",
              " 'anyone',\n",
              " 'anything',\n",
              " 'anyway',\n",
              " 'anywhere',\n",
              " 'apartment',\n",
              " 'apologize',\n",
              " 'apologized',\n",
              " 'apples',\n",
              " 'appointment',\n",
              " 'appreciate',\n",
              " 'april',\n",
              " 'are',\n",
              " 'aren',\n",
              " 'argument',\n",
              " 'arizona',\n",
              " 'arm',\n",
              " 'arms',\n",
              " 'army',\n",
              " 'around',\n",
              " 'arrow',\n",
              " 'art',\n",
              " 'article',\n",
              " 'artist',\n",
              " 'artists',\n",
              " 'as',\n",
              " 'ashes',\n",
              " 'ask',\n",
              " 'asked',\n",
              " 'asking',\n",
              " 'asleep',\n",
              " 'assignments',\n",
              " 'at',\n",
              " 'ate',\n",
              " 'atlantic',\n",
              " 'atm',\n",
              " 'attend',\n",
              " 'attended',\n",
              " 'attending',\n",
              " 'attitude',\n",
              " 'automatic',\n",
              " 'available',\n",
              " 'average',\n",
              " 'avoid',\n",
              " 'awake',\n",
              " 'away',\n",
              " 'awesome',\n",
              " 'babe',\n",
              " 'babies',\n",
              " 'baby',\n",
              " 'babysitter',\n",
              " 'back',\n",
              " 'backpack',\n",
              " 'bacon',\n",
              " 'bad',\n",
              " 'badly',\n",
              " 'bag',\n",
              " 'bags',\n",
              " 'bait',\n",
              " 'ball',\n",
              " 'balloon',\n",
              " 'ballot',\n",
              " 'banana',\n",
              " 'bananas',\n",
              " 'band',\n",
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              " 'invading',\n",
              " 'invented',\n",
              " 'invitation',\n",
              " 'invitations',\n",
              " 'invite',\n",
              " 'invited',\n",
              " 'invites',\n",
              " 'inviting',\n",
              " 'ipod',\n",
              " 'iq',\n",
              " 'iron',\n",
              " 'is',\n",
              " 'island',\n",
              " 'isn',\n",
              " 'it',\n",
              " 'its',\n",
              " 'jacket',\n",
              " ...]"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "msWAvROBiTE9"
      },
      "source": [
        "**APPLICATION**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3uaSsjZeiTE9"
      },
      "source": [
        "from sklearn.metrics.pairwise import cosine_distances\n",
        "import nltk\n",
        "from nltk.stem import WordNetLemmatizer"
      ],
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "neS-mp8CiTE9"
      },
      "source": [
        "query = 'who are you ?'\n",
        "def chatbot(query):\n",
        "    #step:-1 clean\n",
        "    var = nltk.word_tokenize(query)\n",
        "    wnl = WordNetLemmatizer()\n",
        "    query = ' '.join([wnl.lemmatize(words) for words in var])\n",
        "    #query = nu.lemmatization_sentence(query)\n",
        "    #step:-2 word embedding - transform\n",
        "    query_vector = tfidf.transform([query]).toarray()\n",
        "    #step-3: cosine similarity\n",
        "    similar_score = 1 -cosine_distances(factors,query_vector)\n",
        "    index = similar_score.argmax() # take max index position\n",
        "    #searching or matching question\n",
        "    matching_question = df.loc[index]['Query']\n",
        "    response = df.loc[index]['Response']\n",
        "    pos_score = df.loc[index]['pos']\n",
        "    neg_score = df.loc[index]['neg']\n",
        "    neu_score = df.loc[index]['neu']\n",
        "    confidence = similar_score[index][0]\n",
        "    chat_dict = {'match':matching_question,\n",
        "                'response':response,\n",
        "                'score':confidence,\n",
        "                'pos':pos_score,\n",
        "                'neg':neg_score,\n",
        "                'neu':neu_score}\n",
        "    return chat_dict"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cYK7voGPiTE-",
        "outputId": "45c0475e-a3fc-4cc9-8ff4-18ae96116352"
      },
      "source": [
        "while True:\n",
        "    query = input('USER: ')\n",
        "    if query == 'exit.':\n",
        "        break\n",
        "        \n",
        "    response = chatbot(query)\n",
        "    if response['score'] <= 0.2: # \n",
        "        print('BOT: Please rephrase your Question.')\n",
        "    \n",
        "    else:\n",
        "        print('-'*50)\n",
        "        print('logs:\\n Matched Question: %r\\n Confidence Score: %0.2f \\n PositiveScore: %r \\n NegativeScore: %r\\n NeutralScore: %r'%(\n",
        "            response['match'],response['score']*100,response['pos'],response['neg'],response['neu']))\n",
        "        print('-'*50)\n",
        "        print('BOT: ',response['response'])"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "USER: hi, how are you?\n",
            "--------------------------------------------------\n",
            "logs:\n",
            " Matched Question: 'hi  how are you doing '\n",
            " Confidence Score: 86.23 \n",
            " PositiveScore: 0.0 \n",
            " NegativeScore: 0.0\n",
            " NeutralScore: 1.0\n",
            "--------------------------------------------------\n",
            "BOT:  i m fine  how about yourself \n",
            "USER: I'm pretty good. Thanks for asking.\n",
            "--------------------------------------------------\n",
            "logs:\n",
            " Matched Question: 'i m pretty good  thanks for asking '\n",
            " Confidence Score: 100.00 \n",
            " PositiveScore: 0.75 \n",
            " NegativeScore: 0.0\n",
            " NeutralScore: 0.25\n",
            "--------------------------------------------------\n",
            "BOT:  no problem  so how have you been \n",
            "USER: I've been good.\n",
            "--------------------------------------------------\n",
            "logs:\n",
            " Matched Question: 'i ve actually been pretty good  you '\n",
            " Confidence Score: 66.47 \n",
            " PositiveScore: 0.604 \n",
            " NegativeScore: 0.0\n",
            " NeutralScore: 0.396\n",
            "--------------------------------------------------\n",
            "BOT:  i m actually in school right now \n",
            "USER: what school do you go?\n",
            "--------------------------------------------------\n",
            "logs:\n",
            " Matched Question: 'what school do you go to '\n",
            " Confidence Score: 95.36 \n",
            " PositiveScore: 0.0 \n",
            " NegativeScore: 0.0\n",
            " NeutralScore: 1.0\n",
            "--------------------------------------------------\n",
            "BOT:  i go to pcc \n",
            "USER: do you like there?\n",
            "--------------------------------------------------\n",
            "logs:\n",
            " Matched Question: 'do you like it there '\n",
            " Confidence Score: 93.64 \n",
            " PositiveScore: 0.385 \n",
            " NegativeScore: 0.0\n",
            " NeutralScore: 0.615\n",
            "--------------------------------------------------\n",
            "BOT:  it s okay  it s a really big campus \n",
            "USER: good luck with your school.\n",
            "--------------------------------------------------\n",
            "logs:\n",
            " Matched Question: 'good luck with school '\n",
            " Confidence Score: 93.45 \n",
            " PositiveScore: 0.747 \n",
            " NegativeScore: 0.0\n",
            " NeutralScore: 0.253\n",
            "--------------------------------------------------\n",
            "BOT:  thank you very much \n",
            "USER: I'll talk with you tomorrow.\n",
            "--------------------------------------------------\n",
            "logs:\n",
            " Matched Question: 'i ll see you tomorrow then '\n",
            " Confidence Score: 54.40 \n",
            " PositiveScore: 0.0 \n",
            " NegativeScore: 0.0\n",
            " NeutralScore: 1.0\n",
            "--------------------------------------------------\n",
            "BOT:  see you then  goodbye \n",
            "USER: exit.\n"
          ]
        }
      ]
    }
  ]
}