CODE.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fiixm8kL6HH5"
      },
      "source": [
        "# FINE TUNING BERT"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "useZR8oTrNQU"
      },
      "outputs": [],
      "source": [
        "#Import Libraries\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "from matplotlib import pyplot as plt\n",
        "import plotly.express as px\n",
        "\n",
        "import seaborn as sns\n",
        "import time\n",
        "from IPython.display import clear_output\n",
        "\n",
        "import nltk\n",
        "from nltk.corpus import stopwords\n",
        "\n",
        "import tensorflow as tf\n",
        "import tensorflow_datasets as tfds\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import classification_report\n",
        "from sklearn.utils.class_weight import compute_class_weight\n",
        "from tqdm import tqdm\n",
        "\n",
        "from transformers import DistilBertTokenizer, TFDistilBertForSequenceClassification"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PbfVkVv-t3dk"
      },
      "source": [
        "# READING DATASET"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "itJWODfp7yto",
        "outputId": "65d4ec47-ad91-41f3-e8f6-3e8c5d533b68"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['tweet_id', 'airline_sentiment', 'airline_sentiment_confidence',\n",
              "       'negativereason', 'negativereason_confidence', 'airline',\n",
              "       'airline_sentiment_gold', 'name', 'negativereason_gold',\n",
              "       'retweet_count', 'text', 'tweet_coord', 'tweet_created',\n",
              "       'tweet_location', 'user_timezone'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "# loading dataset\n",
        "df = pd.read_csv('Tweets.csv')\n",
        "df.columns"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H4TZM_Net7kM"
      },
      "source": [
        "# LABEL CHECK"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "FhuJyJHJ831T",
        "outputId": "931c78c7-672c-4ef2-97d9-d5500002761a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         neutral\n",
              "1        positive\n",
              "2         neutral\n",
              "3        negative\n",
              "4        negative\n",
              "           ...   \n",
              "14635    positive\n",
              "14636    negative\n",
              "14637     neutral\n",
              "14638    negative\n",
              "14639     neutral\n",
              "Name: airline_sentiment, Length: 14640, dtype: object"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\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>airline_sentiment</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14635</th>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14636</th>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14637</th>\n",
              "      <td>neutral</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14638</th>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14639</th>\n",
              "      <td>neutral</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>14640 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> object</label>"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "df['airline_sentiment']"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k0iCMXvGt-Fo"
      },
      "source": [
        "# FEATURES AND THEIR TYPES"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vyYHCtHp9H33",
        "outputId": "ded195d8-e638-4036-b34e-e77d9437ba60"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "COLUMN: tweet_id, TYPE: int64\n",
            "COLUMN: airline_sentiment, TYPE: object\n",
            "COLUMN: airline_sentiment_confidence, TYPE: float64\n",
            "COLUMN: negativereason, TYPE: object\n",
            "COLUMN: negativereason_confidence, TYPE: float64\n",
            "COLUMN: airline, TYPE: object\n",
            "COLUMN: airline_sentiment_gold, TYPE: object\n",
            "COLUMN: name, TYPE: object\n",
            "COLUMN: negativereason_gold, TYPE: object\n",
            "COLUMN: retweet_count, TYPE: int64\n",
            "COLUMN: text, TYPE: object\n",
            "COLUMN: tweet_coord, TYPE: object\n",
            "COLUMN: tweet_created, TYPE: object\n",
            "COLUMN: tweet_location, TYPE: object\n",
            "COLUMN: user_timezone, TYPE: object\n"
          ]
        }
      ],
      "source": [
        "for col in df.columns:\n",
        "  print(f\"COLUMN: {col}, TYPE: {df[col].dtype}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4sr1-Pj1uBdq"
      },
      "source": [
        "# DROPPING UNNECESSARY COLUMNS"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-9wGybIZjqSx"
      },
      "outputs": [],
      "source": [
        "df = df.drop(['tweet_id', 'airline_sentiment_confidence', 'negativereason', 'negativereason_confidence',\n",
        "              'airline', 'airline_sentiment_gold', 'name', 'negativereason_gold', 'retweet_count',\n",
        "              'tweet_coord', 'tweet_created', 'tweet_location', 'user_timezone'], axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vbQWOGlQlQMD",
        "outputId": "c1c78e79-9a7d-4290-c07e-deca60cd48f5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['airline_sentiment', 'text'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "df.columns"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2OT1VSqbyVAi"
      },
      "source": [
        "# DATA PREPROCESSING"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TJZEsQfpuGva"
      },
      "source": [
        "### MAPPING LABEL"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "OIFgg9G6bE3I"
      },
      "outputs": [],
      "source": [
        "# Map sentiments to numerical labels\n",
        "sentiment_mapping = {'negative': 0, 'neutral': 1, 'positive': 2}\n",
        "df['airline_sentiment'] = df['airline_sentiment'].map(sentiment_mapping)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J45zVUxvuNWz"
      },
      "source": [
        "### CHECKING CLASS BALANCE"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XSS_45zGbFr5",
        "outputId": "08deef16-7fa9-4859-bba2-b3528ca196bb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "airline_sentiment\n",
            "0    9178\n",
            "1    3099\n",
            "2    2363\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(df['airline_sentiment'].value_counts())"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## To Lower Case"
      ],
      "metadata": {
        "id": "ze8ktZ4_ouS2"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "aCLkPkZzcMxJ",
        "outputId": "937f5a94-cabf-4e2a-b601-30cbb55c3f43"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0                      @virginamerica what @dhepburn said.\n",
              "1        @virginamerica plus you've added commercials t...\n",
              "2        @virginamerica i didn't today... must mean i n...\n",
              "3        @virginamerica it's really aggressive to blast...\n",
              "4        @virginamerica and it's a really big bad thing...\n",
              "                               ...                        \n",
              "14635    @americanair thank you we got on a different f...\n",
              "14636    @americanair leaving over 20 minutes late flig...\n",
              "14637    @americanair please bring american airlines to...\n",
              "14638    @americanair you have my money, you change my ...\n",
              "14639    @americanair we have 8 ppl so we need 2 know h...\n",
              "Name: text, Length: 14640, dtype: object"
            ],
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>text</th>\n",
              "    </tr>\n",
              "  </thead>\n",
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              "      <td>@virginamerica what @dhepburn said.</td>\n",
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              "      <td>@virginamerica plus you've added commercials t...</td>\n",
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              "      <th>2</th>\n",
              "      <td>@virginamerica i didn't today... must mean i n...</td>\n",
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              "      <td>@virginamerica it's really aggressive to blast...</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>@virginamerica and it's a really big bad thing...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14635</th>\n",
              "      <td>@americanair thank you we got on a different f...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14636</th>\n",
              "      <td>@americanair leaving over 20 minutes late flig...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14637</th>\n",
              "      <td>@americanair please bring american airlines to...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14638</th>\n",
              "      <td>@americanair you have my money, you change my ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14639</th>\n",
              "      <td>@americanair we have 8 ppl so we need 2 know h...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>14640 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> object</label>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "# Lowercase\n",
        "df['text'].str.lower()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cjjG9Z9nglVb"
      },
      "outputs": [],
      "source": [
        "# remove Html tags and special characters\n",
        "import re\n",
        "def remove_html_tags(text):\n",
        "    return re.sub(r'<[^<]+?>', '', text)\n",
        "\n",
        "df['text'] = df['text'].apply(remove_html_tags)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bvYiHnXqisn-"
      },
      "outputs": [],
      "source": [
        "# remove URLs\n",
        "def remove_url(text):\n",
        "    return re.sub(r'http[s]?://\\S+|www\\.\\S+', '', text)\n",
        "df['text'] = df['text'].apply(remove_url)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "colab": {
          "base_uri": "https://localhost:8080/",
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        "id": "ucl913rSizYL",
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      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   airline_sentiment                                               text\n",
              "0                  1                        virginamerica dhepburn said\n",
              "1                  2  virginamerica plus youve added commercials exp...\n",
              "2                  1  virginamerica didnt today must mean need take ...\n",
              "3                  0  virginamerica really aggressive blast obnoxiou...\n",
              "4                  0                 virginamerica really big bad thing"
            ],
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              "      <th>airline_sentiment</th>\n",
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              "                                                    [key], {});\n",
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              "\n",
              "        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",
              "          + ' to learn more about interactive tables.';\n",
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              "\n",
              "\n",
              "<div id=\"df-48321cbc-22c0-4013-8dad-72f84affd433\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-48321cbc-22c0-4013-8dad-72f84affd433')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-48321cbc-22c0-4013-8dad-72f84affd433 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 14640,\n  \"fields\": [\n    {\n      \"column\": \"airline_sentiment\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          1,\n          2,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 14232,\n        \"samples\": [\n          \"united boarding decent 3 useless agents dont speak english 25hrs hold 6hrs mech delay much\",\n          \"usairways us airways website double charge people book flights apparently ive never booked twice\",\n          \"jetblue call made inflight crew fact asked us didnt bring\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "# Text preprocessing\n",
        "nltk.download('stopwords')\n",
        "stop_words = set(stopwords.words('english'))\n",
        "df['text']= df['text'].str.lower().replace('[^a-zA-Z0-9\\s]', '', regex=True)\n",
        "#df_transformed['review_body'] = df_transformed['review_body'].str.replace('[^\\\\w\\\\s]', '', regex=True)\n",
        "df['text'] = df['text'].apply(lambda x: ' '.join(word for word in x.split() if word not in stop_words))\n",
        "df['text']=df['text'].str.lower()\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qQxQZbKXjXrF",
        "outputId": "4f4bc244-6ef1-4f2f-db99-cd8ef0f61400"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(14640, 2)"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FOE16BLGmTP7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "e051db15-1211-4434-ecdb-c07a9d114be0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'southwestair neveryamind paid 450 flight 250 new bag easy business class customers right'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "df['text'][5000]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "wAPIwo_cmiXo",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 477
        },
        "outputId": "f71b638a-8a0c-4d61-dce1-04194d64104c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "def plot_class_distribution():\n",
        "  df.groupby(['airline_sentiment']).size().plot(kind='bar', color=sns.palettes.mpl_palette('Dark2'), rot=0)\n",
        "  plt.title('Class Distribution', fontsize=14)\n",
        "  plt.xlabel('Sentiment Class', fontsize=12)\n",
        "  plt.ylabel('Frequency', fontsize=12)\n",
        "  plt.gca().spines[['top', 'right']].set_visible(False)\n",
        "  plt.show()\n",
        "\n",
        "plot_class_distribution()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2fFP_jWsqbDw"
      },
      "source": [
        "# Word Cloud\n",
        "\n",
        "> It gives frequency of each word. Most frequent appears bigger in font size"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-D8QTIIkpYlF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 576
        },
        "outputId": "c070146f-92a1-4761-b957-4495e39ce220"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from wordcloud import WordCloud\n",
        "from collections import Counter\n",
        "\n",
        "all_reviews = \" \".join(df[\"text\"])\n",
        "\n",
        "wordcloud = WordCloud(width=800, height=800, background_color='white').generate(all_reviews)\n",
        "plt.figure(figsize=(15, 7))\n",
        "plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
        "plt.axis(\"off\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "o47iBrDAqBQh"
      },
      "outputs": [],
      "source": [
        "df_transformed=df.copy()\n",
        "df_transformed.to_csv('./data_transformed_tweets.csv', index=False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "NjdSSf7Rq2F7",
        "outputId": "1f39a587-582a-4f7f-996e-452ef93e7a74"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   airline_sentiment                                               text\n",
              "0                  1                        virginamerica dhepburn said\n",
              "1                  2  virginamerica plus youve added commercials exp...\n",
              "2                  1  virginamerica didnt today must mean need take ...\n",
              "3                  0  virginamerica really aggressive blast obnoxiou...\n",
              "4                  0                 virginamerica really big bad thing"
            ],
            "text/html": [
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              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>virginamerica didnt today must mean need take ...</td>\n",
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              "      <td>virginamerica really aggressive blast obnoxiou...</td>\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-34890d7c-0ebd-4ed2-abb7-24a06a094e51 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-34890d7c-0ebd-4ed2-abb7-24a06a094e51');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        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",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-909e158e-3409-4fac-9793-d215dfab15ca\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-909e158e-3409-4fac-9793-d215dfab15ca')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-909e158e-3409-4fac-9793-d215dfab15ca button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_transformed",
              "summary": "{\n  \"name\": \"df_transformed\",\n  \"rows\": 14640,\n  \"fields\": [\n    {\n      \"column\": \"airline_sentiment\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          1,\n          2,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 14232,\n        \"samples\": [\n          \"united boarding decent 3 useless agents dont speak english 25hrs hold 6hrs mech delay much\",\n          \"usairways us airways website double charge people book flights apparently ive never booked twice\",\n          \"jetblue call made inflight crew fact asked us didnt bring\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "df_transformed.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UOjGS9QVsBtu"
      },
      "source": [
        "# MODEL TRAINING"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "MbqRU5T_r3ky",
        "outputId": "df418d55-6406-4529-dcb5-c45d7d8aa7b8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   airline_sentiment                                               text\n",
              "0                  1                        virginamerica dhepburn said\n",
              "1                  2  virginamerica plus youve added commercials exp...\n",
              "2                  1  virginamerica didnt today must mean need take ...\n",
              "3                  0  virginamerica really aggressive blast obnoxiou...\n",
              "4                  0                 virginamerica really big bad thing"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e27731e5-a52e-46a5-a573-19d00fa1327a\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>airline_sentiment</th>\n",
              "      <th>text</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>virginamerica dhepburn said</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>virginamerica plus youve added commercials exp...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>virginamerica didnt today must mean need take ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>virginamerica really aggressive blast obnoxiou...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>virginamerica really big bad thing</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e27731e5-a52e-46a5-a573-19d00fa1327a')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e27731e5-a52e-46a5-a573-19d00fa1327a button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-e27731e5-a52e-46a5-a573-19d00fa1327a');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        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",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-31d8c44e-8f5d-4b04-ada5-317578d8df85\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-31d8c44e-8f5d-4b04-ada5-317578d8df85')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-31d8c44e-8f5d-4b04-ada5-317578d8df85 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 14640,\n  \"fields\": [\n    {\n      \"column\": \"airline_sentiment\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          1,\n          2,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 14232,\n        \"samples\": [\n          \"united boarding decent 3 useless agents dont speak english 25hrs hold 6hrs mech delay much\",\n          \"usairways us airways website double charge people book flights apparently ive never booked twice\",\n          \"jetblue call made inflight crew fact asked us didnt bring\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 19
        }
      ],
      "source": [
        "df=pd.read_csv(\"data_transformed_tweets.csv\")\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NzY9x8tosOk1"
      },
      "source": [
        "# SENTIMENT ANALYSIS USING DistillBERT"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "os07vMyOsFTx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269,
          "referenced_widgets": [
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        "outputId": "1d4905fd-ea92-4930-ce09-89948022e2f3"
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      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/48.0 [00:00<?, ?B/s]"
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          "metadata": {}
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          "output_type": "display_data",
          "data": {
            "text/plain": [
              "vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
            ],
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              "version_major": 2,
              "version_minor": 0,
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer.json:   0%|          | 0.00/466k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/483 [00:00<?, ?B/s]"
            ],
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              "model_id": "01baa008262046019fc49434be42a730"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-uncased')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rk4SToKNticA"
      },
      "source": [
        "### **Explanation of Steps:**\n",
        "\n",
        "1. **Tokenization:**\n",
        "   - Converts raw text into tokenized inputs (`input_ids` and `attention_mask`) compatible with the transformer model.\n",
        "   - Handles padding, truncation, and adds special tokens like `[CLS]` and `[SEP]` to ensure uniform input size.\n",
        "\n",
        "2. **Feature Mapping:**\n",
        "   - Prepares tokenized inputs (`input_ids` and `attention_mask`) along with their corresponding labels in the format required for TensorFlow datasets.\n",
        "\n",
        "3. **Dataset Encoding:**\n",
        "   - Processes the entire dataset by tokenizing each example and organizing `input_ids`, `attention_mask`, and labels into lists.\n",
        "   - Converts these lists into a TensorFlow dataset using `tf.data.Dataset.from_tensor_slices` and maps them into a structured format.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Sf8zN9y8sYgs"
      },
      "outputs": [],
      "source": [
        "def tokenize_review(review, tokenizer):\n",
        "    encoded = tokenizer(\n",
        "        text=review,\n",
        "        add_special_tokens=True,\n",
        "        max_length=512,\n",
        "        padding=\"max_length\",\n",
        "        truncation=True,\n",
        "        return_tensors=\"tf\"\n",
        "    )\n",
        "    return {\n",
        "        \"input_ids\": encoded[\"input_ids\"].numpy()[0],\n",
        "        \"attention_mask\": encoded[\"attention_mask\"].numpy()[0]\n",
        "    }\n",
        "\n",
        "# Dataset encoding function\n",
        "def encode_dataset(dataset, tokenizer, limit=-1):\n",
        "    input_ids_list = []\n",
        "    attention_mask_list = []\n",
        "    label_list = []\n",
        "\n",
        "    if limit > 0:\n",
        "        dataset = dataset.take(limit)\n",
        "\n",
        "    for review, label in tfds.as_numpy(dataset):\n",
        "        tokenized = tokenize_review(review.decode(), tokenizer)\n",
        "        input_ids_list.append(tokenized['input_ids'])\n",
        "        attention_mask_list.append(tokenized['attention_mask'])\n",
        "        label_list.append(label)\n",
        "\n",
        "    tf_dataset = tf.data.Dataset.from_tensor_slices((\n",
        "        input_ids_list,\n",
        "        attention_mask_list,\n",
        "        label_list\n",
        "    ))\n",
        "    return tf_dataset.map(prepare_features)\n",
        "\n",
        "def prepare_features(input_ids, attention_mask, label):\n",
        "    return {\n",
        "        \"input_ids\": input_ids,\n",
        "        \"attention_mask\": attention_mask\n",
        "    }, label"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SepjOQ1puP3m"
      },
      "source": [
        "# SPLITTING DATASET\n",
        "\n",
        "> Ratio\n",
        "\n",
        "- Train `80%` OR `70%`\n",
        "- Test `20%` OR `30%`"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ohQN2Ti8tfE0"
      },
      "outputs": [],
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(df['text'], df['airline_sentiment'],\n",
        "                                                    test_size=0.3, random_state=42, stratify=df['airline_sentiment'])"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# COMPUTING CLASS WEIGHTS"
      ],
      "metadata": {
        "id": "csh3t_fvnxho"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Compute class weights\n",
        "class_weights = compute_class_weight(\n",
        "    class_weight='balanced',\n",
        "    classes=np.unique(y_train),\n",
        "    y=y_train\n",
        ")\n",
        "\n",
        "class_weights_dict = {i: weight for i, weight in enumerate(class_weights)}\n",
        "print(f\"Computed Class Weights: {class_weights_dict}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Lgn6LtbKnnhd",
        "outputId": "37621ed7-c53b-4ede-f6d0-038561f615fb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Computed Class Weights: {0: 0.5316731517509727, 1: 1.5749193176579068, 2: 2.065296251511487}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "emfFUCXpunuv"
      },
      "source": [
        "# HYPER PARAMETERS INITIALIZATION"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IylCNgvQurH0"
      },
      "outputs": [],
      "source": [
        "BATCH_SIZE = 16\n",
        "EPOCHS = 3\n",
        "LEARNING_RATE = 2e-5\n",
        "EPSILON = 1e-08"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IIlxG2TBy-4z"
      },
      "source": [
        "# Prepare dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "OOUgUnw_zBb7"
      },
      "outputs": [],
      "source": [
        "# Prepare TensorFlow datasets\n",
        "ds_train = tf.data.Dataset.from_tensor_slices((X_train, y_train))\n",
        "ds_test = tf.data.Dataset.from_tensor_slices((X_test, y_test))\n",
        "\n",
        "ds_train_encoded = encode_dataset(ds_train, tokenizer).shuffle(10000).batch(BATCH_SIZE)\n",
        "ds_test_encoded = encode_dataset(ds_test, tokenizer).batch(BATCH_SIZE)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JEzEUuJF9EFh"
      },
      "source": [
        "# Initialize and Compile the model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2geRHs4o9DQy",
        "outputId": "934f1c6e-b642-4a3d-a89a-b9dc96c049d9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of the PyTorch model were not used when initializing the TF 2.0 model TFDistilBertForSequenceClassification: ['vocab_layer_norm.bias', 'vocab_layer_norm.weight', 'vocab_transform.bias', 'vocab_projector.bias', 'vocab_transform.weight']\n",
            "- This IS expected if you are initializing TFDistilBertForSequenceClassification from a PyTorch model trained on another task or with another architecture (e.g. initializing a TFBertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing TFDistilBertForSequenceClassification from a PyTorch model that you expect to be exactly identical (e.g. initializing a TFBertForSequenceClassification model from a BertForSequenceClassification model).\n",
            "Some weights or buffers of the TF 2.0 model TFDistilBertForSequenceClassification were not initialized from the PyTorch model and are newly initialized: ['pre_classifier.weight', 'pre_classifier.bias', 'classifier.weight', 'classifier.bias']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
        }
      ],
      "source": [
        "model = TFDistilBertForSequenceClassification.from_pretrained('distilbert-base-uncased', num_labels=3)\n",
        "\n",
        "optimizer = tf.optimizers.Adam(learning_rate=LEARNING_RATE, epsilon=EPSILON)\n",
        "loss = tf.losses.SparseCategoricalCrossentropy(from_logits=True)\n",
        "metric = tf.metrics.SparseCategoricalAccuracy('accuracy')\n",
        "\n",
        "model.compile(\n",
        "    loss=loss,\n",
        "    optimizer=optimizer,\n",
        "    metrics=[metric]\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MD2lDsMgzSWB"
      },
      "source": [
        "# FINE TUNING\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Xk7SHG84w7kW",
        "outputId": "868a84e0-9746-44c0-f8b3-8c1a32d589bb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/3\n",
            "641/641 [==============================] - 689s 1s/step - loss: 0.1080 - accuracy: 0.9602 - val_loss: 0.8176 - val_accuracy: 0.7908\n",
            "Epoch 2/3\n",
            "641/641 [==============================] - 689s 1s/step - loss: 0.0856 - accuracy: 0.9718 - val_loss: 0.8015 - val_accuracy: 0.8126\n",
            "Epoch 3/3\n",
            "641/641 [==============================] - 630s 983ms/step - loss: 0.0649 - accuracy: 0.9780 - val_loss: 0.8574 - val_accuracy: 0.7962\n"
          ]
        }
      ],
      "source": [
        "history = model.fit(\n",
        "    ds_train_encoded,\n",
        "    validation_data=ds_test_encoded,\n",
        "    epochs=EPOCHS,\n",
        "    class_weight=class_weights_dict\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ju_2JPn1zfrd"
      },
      "source": [
        "# Performance evaluation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ny8P44GBzfH2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "662a40a9-677b-47b3-df89-ceb04c0670ba"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "275/275 [==============================] - 85s 307ms/step - loss: 0.8574 - accuracy: 0.7962\n",
            "Test Loss: 0.8574405312538147\n",
            "Test Accuracy: 0.7962204217910767\n"
          ]
        }
      ],
      "source": [
        "save_path = '/five'\n",
        "model.save_pretrained(save_path)\n",
        "\n",
        "test_loss, test_accuracy = model.evaluate(ds_test_encoded)\n",
        "print(f\"Test Loss: {test_loss}\")\n",
        "print(f\"Test Accuracy: {test_accuracy}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "plTMcaDDzqpc"
      },
      "source": [
        "# Classification Report"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dwkRS8zCzqLg",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "49e84740-bb00-4782-cbe0-abf3770ddebb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'              precision    recall  f1-score   support\\n\\n    Negative       0.89      0.86      0.87      2753\\n     Neutral       0.61      0.66      0.63       930\\n    Positive       0.72      0.73      0.72       709\\n\\n    accuracy                           0.80      4392\\n   macro avg       0.74      0.75      0.74      4392\\nweighted avg       0.80      0.80      0.80      4392\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 39
        }
      ],
      "source": [
        "# Predict on the test dataset\n",
        "y_pred = []\n",
        "y_true = []\n",
        "\n",
        "for inputs, labels in ds_test_encoded:\n",
        "    logits = model.predict(inputs).logits\n",
        "    predictions = tf.argmax(logits, axis=-1)\n",
        "    y_pred.extend(predictions.numpy())\n",
        "    y_true.extend(labels.numpy())"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Generate a classification report\n",
        "print(classification_report(y_true, y_pred, target_names=['Negative', 'Neutral', 'Positive']))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f3wXaI4q3AaP",
        "outputId": "094688af-8da5-4384-fd39-7f0659f45143"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Negative       0.89      0.86      0.87      2753\n",
            "     Neutral       0.61      0.66      0.63       930\n",
            "    Positive       0.72      0.73      0.72       709\n",
            "\n",
            "    accuracy                           0.80      4392\n",
            "   macro avg       0.74      0.75      0.74      4392\n",
            "weighted avg       0.80      0.80      0.80      4392\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "9qAdAjIJDhl_",
        "outputId": "ce160e70-0c1d-4f42-bbcc-9573377abe02"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "275/275 [==============================] - 86s 306ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "predictions = model.predict(ds_test_encoded)\n",
        "predicted_classes = np.argmax(predictions.logits, axis=1)\n",
        "true_classes = y_test\n",
        "\n",
        "# Confusion matrix\n",
        "from sklearn.metrics import confusion_matrix\n",
        "\n",
        "cm= confusion_matrix(true_classes, predicted_classes)\n",
        "sns.heatmap(cm, annot=True, fmt='d')\n",
        "plt.xlabel('Predicted')\n",
        "plt.ylabel('True')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XvmHNiDZ18o2"
      },
      "source": [
        "# USING MODEL FOR SENTIMENT ANALYSIS"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZW0eddNe0RWa",
        "outputId": "e8b7e91a-1909-4f3c-f310-3437b3836a50"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Some layers from the model checkpoint at /content/drive/My Drive/MydistillBERT were not used when initializing TFDistilBertForSequenceClassification: ['dropout_39']\n",
            "- This IS expected if you are initializing TFDistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing TFDistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
            "Some layers of TFDistilBertForSequenceClassification were not initialized from the model checkpoint at /content/drive/My Drive/MydistillBERT and are newly initialized: ['dropout_79']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Enter a sentence for sentiment analysis (q/e to exit): What are you doing?\n",
            "1/1 [==============================] - 1s 1s/step\n",
            "The sentiment is: Negative\n",
            "Enter a sentence for sentiment analysis (q/e to exit): Why are you here?\n",
            "1/1 [==============================] - 0s 53ms/step\n",
            "The sentiment is: Negative\n",
            "Enter a sentence for sentiment analysis (q/e to exit): Lets Go\n",
            "1/1 [==============================] - 0s 67ms/step\n",
            "The sentiment is: Positive\n",
            "Enter a sentence for sentiment analysis (q/e to exit): The flight was good bad\n",
            "1/1 [==============================] - 0s 57ms/step\n",
            "The sentiment is: Negative\n",
            "Enter a sentence for sentiment analysis (q/e to exit): good\n",
            "1/1 [==============================] - 0s 52ms/step\n",
            "The sentiment is: Neutral\n",
            "Enter a sentence for sentiment analysis (q/e to exit): bad\n",
            "1/1 [==============================] - 0s 58ms/step\n",
            "The sentiment is: Neutral\n",
            "Enter a sentence for sentiment analysis (q/e to exit): worst\n",
            "1/1 [==============================] - 0s 68ms/step\n",
            "The sentiment is: Negative\n",
            "Enter a sentence for sentiment analysis (q/e to exit): he was going there and fell down like a cat\n",
            "1/1 [==============================] - 0s 53ms/step\n",
            "The sentiment is: Negative\n",
            "Enter a sentence for sentiment analysis (q/e to exit): q\n"
          ]
        }
      ],
      "source": [
        "from transformers import DistilBertTokenizer, TFDistilBertForSequenceClassification\n",
        "import tensorflow as tf\n",
        "\n",
        "model_path = '/content/drive/My Drive/MydistillBERT'\n",
        "model = TFDistilBertForSequenceClassification.from_pretrained(model_path)\n",
        "tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-uncased')\n",
        "\n",
        "# Define sentiment mapping\n",
        "sentiment_mapping = {0: \"Negative\", 1: \"Neutral\", 2: \"Positive\"}\n",
        "\n",
        "# Function for sentiment analysis\n",
        "def predict_sentiment(text):\n",
        "    encoded = tokenizer(\n",
        "        text,\n",
        "        add_special_tokens=True,\n",
        "        max_length=512,\n",
        "        padding=\"max_length\",\n",
        "        truncation=True,\n",
        "        return_tensors=\"tf\"\n",
        "    )\n",
        "    predictions = model.predict({\n",
        "        'input_ids': encoded['input_ids'],\n",
        "        'attention_mask': encoded['attention_mask']\n",
        "    }).logits\n",
        "    predicted_label = tf.argmax(predictions, axis=1).numpy()[0]\n",
        "    return sentiment_mapping[predicted_label]\n",
        "\n",
        "while(True):\n",
        "  user_input = input(\"Enter a sentence for sentiment analysis (q/e to exit): \")\n",
        "  if user_input.lower() in [\"q\", \"e\", \"exit\", \"quit\"]:\n",
        "    print(\"GOODBYE\")\n",
        "    break\n",
        "  result = predict_sentiment(user_input)\n",
        "  print(f\"The sentiment is: {result}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "CQhAdDDW0_XY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "1aad5fa7-4cd3-4764-a99e-7f07c7eaeabc"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Data for plotting\n",
        "epochs_3 = [1, 2, 3]\n",
        "epochs_5 = [1, 2, 3, 4, 5]\n",
        "\n",
        "# Configurations data\n",
        "config1_acc = [0.9602, 0.9718, 0.9780]\n",
        "config1_val_acc = [0.7908, 0.8126, 0.7962]\n",
        "\n",
        "config2_acc = [0.7762, 0.9085, 0.9556, 0.9739, 0.9796]\n",
        "config2_val_acc = [0.8375, 0.9052, 0.9130, 0.9240, 0.9190]\n",
        "\n",
        "config3_acc = [0.7231, 0.8143, 0.8751, 0.9208, 0.9476]\n",
        "config3_val_acc = [0.7737, 0.7550, 0.8001, 0.8040, 0.7958]\n",
        "\n",
        "# Plotting Accuracy\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(epochs_3, config1_acc, marker='o', label='Config 1 - BS=16, EPOCH=3')\n",
        "plt.plot(epochs_5, config2_acc, marker='s', label='Config 2 - BS=32, EPOCH=5')\n",
        "plt.plot(epochs_5, config3_acc, marker='^', label='Config 3 - BS=16, EPOCH=5')\n",
        "plt.xlabel('Epochs', fontsize=12)\n",
        "plt.ylabel('Accuracy', fontsize=12)\n",
        "plt.title('Accuracy for Different Configurations', fontsize=14)\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "print(\"\\n\\n\\n\\n\")\n",
        "\n",
        "# Plotting Validation Accuracy\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(epochs_3, config1_val_acc, marker='o', linestyle='--', label='Config 1 - BS=16, EPOCH=3')\n",
        "plt.plot(epochs_5, config2_val_acc, marker='s', linestyle='--', label='Config 2 - BS=32, EPOCH=5')\n",
        "plt.plot(epochs_5, config3_val_acc, marker='^', linestyle='--', label='Config 3 - BS=16, EPOCH=5')\n",
        "plt.xlabel('Epochs', fontsize=12)\n",
        "plt.ylabel('Validation Accuracy', fontsize=12)\n",
        "plt.title('Validation Accuracy for Different Configurations', fontsize=14)\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "-4GM4XA86Qhm"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
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      "provenance": [],
      "gpuType": "T4"
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      "display_name": "Python 3",
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