nlp_misogynydetection.ipynb

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      "source": [
        "!pip install keras\n",
        "!pip install contractions"
      ],
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          "text": [
            "Requirement already satisfied: keras in /usr/local/lib/python3.10/dist-packages (2.13.1)\n",
            "Collecting contractions\n",
            "  Downloading contractions-0.1.73-py2.py3-none-any.whl (8.7 kB)\n",
            "Collecting textsearch>=0.0.21 (from contractions)\n",
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            "Collecting anyascii (from textsearch>=0.0.21->contractions)\n",
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            "\u001b[?25hCollecting pyahocorasick (from textsearch>=0.0.21->contractions)\n",
            "  Downloading pyahocorasick-2.0.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (110 kB)\n",
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            "\u001b[?25hInstalling collected packages: pyahocorasick, anyascii, textsearch, contractions\n",
            "Successfully installed anyascii-0.3.2 contractions-0.1.73 pyahocorasick-2.0.0 textsearch-0.0.24\n"
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        "pip install transformers\n"
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      "execution_count": 3,
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          "text": [
            "Collecting transformers\n",
            "  Downloading transformers-4.34.0-py3-none-any.whl (7.7 MB)\n",
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            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
            "Collecting tokenizers<0.15,>=0.14 (from transformers)\n",
            "  Downloading tokenizers-0.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB)\n",
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            "\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
            "  Downloading safetensors-0.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
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            "Collecting huggingface-hub<1.0,>=0.16.4 (from transformers)\n",
            "  Downloading huggingface_hub-0.17.3-py3-none-any.whl (295 kB)\n",
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            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.6)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.7.22)\n",
            "Installing collected packages: safetensors, huggingface-hub, tokenizers, transformers\n",
            "Successfully installed huggingface-hub-0.17.3 safetensors-0.4.0 tokenizers-0.14.1 transformers-4.34.0\n"
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    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "IpWk_2v_gtVL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Tools & libraries"
      ],
      "metadata": {
        "id": "SMynkTV13qzM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import os\n",
        "import re\n",
        "import csv\n",
        "import nltk\n",
        "nltk.download('punkt')\n",
        "nltk.download('stopwords')\n",
        "import matplotlib.pyplot as plt\n",
        "from tensorflow.keras.preprocessing.text import Tokenizer\n",
        "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense, Embedding, GRU, LSTM, Bidirectional\n",
        "from tensorflow.keras.layers import Embedding\n",
        "from keras.initializers import Constant\n",
        "from keras.callbacks import ModelCheckpoint\n",
        "from keras.models import load_model\n",
        "import contractions\n",
        "import warnings"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JibJDWl93qzN",
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      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n",
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Get the data"
      ],
      "metadata": {
        "id": "gmp9vnK63qzP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv(\"sexism_data.csv\")\n",
        "data.head()"
      ],
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        "colab": {
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          "height": 206
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      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   id dataset                                               text  toxicity  \\\n",
              "0   0   other  MENTION3481 i didn't even know random was an o...  0.118180   \n",
              "1   1   other                   Bottom two should've gone!  #mkr  0.251850   \n",
              "2   2  callme  MENTION3111 MENTION3424 ladyboner deserves so ...  0.113331   \n",
              "3   3   other  She shall now be known as Sourpuss #MKR #KatAn...  0.531153   \n",
              "4   4   other  Tarah W threw a bunch of women under the bus s...  0.118718   \n",
              "\n",
              "   sexist  of_id  \n",
              "0   False     -1  \n",
              "1   False     -1  \n",
              "2   False     -1  \n",
              "3   False     -1  \n",
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              "        <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-b0db683d-9720-48aa-94a4-508c7ac66399 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(data['sexist'].value_counts())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PtnEsO60LCPX",
        "outputId": "346f428c-4eb4-41a4-f0d9-c0e8e7d08086",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:30:46.284463Z",
          "iopub.execute_input": "2023-04-27T19:30:46.284856Z",
          "iopub.status.idle": "2023-04-27T19:30:46.297695Z",
          "shell.execute_reply.started": "2023-04-27T19:30:46.284815Z",
          "shell.execute_reply": "2023-04-27T19:30:46.296711Z"
        },
        "trusted": true
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "False    11822\n",
            "True      1809\n",
            "Name: sexist, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Clean the data"
      ],
      "metadata": {
        "id": "npGKYtmS3qzP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def clean_text(text):\n",
        "    text = text.lower()#convert the text to lower\n",
        "\n",
        "    pattern = re.compile('http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+')#remove urls\n",
        "    text = pattern.sub('', text)\n",
        "    text = \" \".join(filter(lambda x:x[0]!='@', text.split()))#remove account handles\n",
        "    emoji = re.compile(\"[\"\n",
        "                           u\"\\U0001F600-\\U0001FFFF\"  # emoticons\n",
        "                           u\"\\U0001F300-\\U0001F5FF\"  # symbols & pictographs\n",
        "                           u\"\\U0001F680-\\U0001F6FF\"  # transport & map symbols\n",
        "                           u\"\\U0001F1E0-\\U0001F1FF\"  # flags (iOS)\n",
        "                           u\"\\U00002702-\\U000027B0\"\n",
        "                           u\"\\U000024C2-\\U0001F251\"\n",
        "                           \"]+\", flags=re.UNICODE)\n",
        "\n",
        "    text = emoji.sub(r'', text)\n",
        "    text = text.lower()\n",
        "\n",
        "    text = re.sub(r\"im\", \"i'm\", text)\n",
        "    text = re.sub(r\"hes\", \"he's\", text)\n",
        "    text = re.sub(r\"shes\", \"she's\", text)\n",
        "    text = re.sub(r\"thats\", \"that's\", text)\n",
        "    text = re.sub(r\"whats\", \"what's\", text)\n",
        "    text = re.sub(r\"wheres\", \"where's\", text)\n",
        "    text = re.sub(r\"\\'ll\", \" will\", text)\n",
        "    text = re.sub(r\"\\'ve\", \" have\", text)\n",
        "    text = re.sub(r\"\\'re\", \" are\", text)\n",
        "    text = re.sub(r\"\\'d\", \" would\", text)\n",
        "    text = re.sub(r\"\\'ve\", \" have\", text)\n",
        "    text = re.sub(r\"wont\", \"won't\", text)\n",
        "    text = re.sub(r\"dont\", \"don't\", text)\n",
        "    text = re.sub(r\"didnt\", \"didn't\", text)\n",
        "    text = re.sub(r\"cant\", \"can't\", text)\n",
        "    text = re.sub(r\"its\", \"it's\", text)\n",
        "    text = re.sub(r\"couldnt\", \"couldn't\", text)\n",
        "    text = re.sub(r\"havent\", \"haven't\", text)\n",
        "    text = re.sub(r\"shouldnt\", \"shouldn't\", text)\n",
        "    text = contractions.fix(text)\n",
        "    text = re.sub(r\"[,.\\\"\\'!@#$%^&*(){}?/;`~:<>+=-]\", \"\", text)\n",
        "    return text"
      ],
      "metadata": {
        "id": "9g0e4qeI3qzP",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:30:46.298973Z",
          "iopub.execute_input": "2023-04-27T19:30:46.299479Z",
          "iopub.status.idle": "2023-04-27T19:30:46.313863Z",
          "shell.execute_reply.started": "2023-04-27T19:30:46.299441Z",
          "shell.execute_reply": "2023-04-27T19:30:46.312813Z"
        },
        "trusted": true
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Tokenization"
      ],
      "metadata": {
        "id": "fY7o-fdCrELy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import string\n",
        "from nltk.tokenize import word_tokenize\n",
        "from nltk.corpus import stopwords\n",
        "\n",
        "def CleanTokenize(data):\n",
        "    head_lines = list()\n",
        "    lines = data[\"text\"].values.tolist()\n",
        "\n",
        "    for line in lines:\n",
        "        line = clean_text(line)\n",
        "        # tokenize the text\n",
        "        tokens = word_tokenize(line)\n",
        "        # remove puntuations\n",
        "        table = str.maketrans('', '', string.punctuation)\n",
        "        stripped = [w.translate(table) for w in tokens]\n",
        "        # remove non alphabetic characters\n",
        "        words = [word for word in stripped if word.isalpha()]\n",
        "        stop_words = set(stopwords.words(\"english\"))\n",
        "        # remove stop words\n",
        "        words = [w for w in words if not w in stop_words]\n",
        "        head_lines.append(words)\n",
        "    return head_lines\n",
        "\n",
        "head_lines = CleanTokenize(data)\n",
        "head_lines[0:10]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QH4ZwSJ43qzP",
        "outputId": "ec31ae97-550e-4e8c-d170-5acbac2b8d77",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:30:46.315134Z",
          "iopub.execute_input": "2023-04-27T19:30:46.315494Z",
          "iopub.status.idle": "2023-04-27T19:30:51.316188Z",
          "shell.execute_reply.started": "2023-04-27T19:30:46.315460Z",
          "shell.execute_reply": "2023-04-27T19:30:51.314988Z"
        },
        "trusted": true
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['even', 'know', 'random', 'option'],\n",
              " ['bottom', 'two', 'gone', 'mkr'],\n",
              " ['ladyboner',\n",
              "  'deserves',\n",
              "  'much',\n",
              "  'credit',\n",
              "  'dudeboner',\n",
              "  'bonerdebate',\n",
              "  'reddetails'],\n",
              " ['shall', 'known', 'sourpuss', 'mkr', 'katandre', 'failedfoodies'],\n",
              " ['tarah',\n",
              "  'w',\n",
              "  'threw',\n",
              "  'bunch',\n",
              "  'women',\n",
              "  'bus',\n",
              "  'could',\n",
              "  'get',\n",
              "  'wadhwas',\n",
              "  'support',\n",
              "  'women',\n",
              "  'tech',\n",
              "  'book'],\n",
              " ['trust', 'adult', 'uses', 'coupons'],\n",
              " ['mkr'],\n",
              " ['returns',\n",
              "  'couples',\n",
              "  'intruders',\n",
              "  'gate',\n",
              "  'crashers',\n",
              "  'secondchancers',\n",
              "  'eliminated',\n",
              "  'mkr'],\n",
              " ['abuse', 'comes', 'gamergate', 'accounts', 'days', 'old'],\n",
              " ['great',\n",
              "  'see',\n",
              "  'local',\n",
              "  'national',\n",
              "  'park',\n",
              "  'workers',\n",
              "  'tucking',\n",
              "  'free',\n",
              "  'feed',\n",
              "  'empty',\n",
              "  'loos',\n",
              "  'instead',\n",
              "  'mkr']]"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Adding POS tags to the generated tokens"
      ],
      "metadata": {
        "id": "9Avj1mh4rHyT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import nltk\n",
        "\n",
        "# download the necessary NLTK resources\n",
        "nltk.download('punkt')\n",
        "nltk.download('averaged_perceptron_tagger')\n",
        "\n",
        "# perform POS tagging on each sentence in head_lines\n",
        "pos_tagged_head_lines = []\n",
        "for text in head_lines:\n",
        "    pos_tagged_sentence = nltk.pos_tag(text)#function uses the Penn Treebank tagset by default\n",
        "    pos_tagged_head_lines.append(pos_tagged_sentence)\n",
        "\n",
        "print(pos_tagged_head_lines[0:10])\n",
        "#\"NN\" for singular nouns, \"VB\" for verbs, \"JJ\" for adjectives"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ymnkbp1cp0PY",
        "outputId": "1aab5b42-4110-4c3a-bf0f-aad7b8abae3d",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:30:51.317655Z",
          "iopub.execute_input": "2023-04-27T19:30:51.318555Z",
          "iopub.status.idle": "2023-04-27T19:30:58.684015Z",
          "shell.execute_reply.started": "2023-04-27T19:30:51.318507Z",
          "shell.execute_reply": "2023-04-27T19:30:58.682733Z"
        },
        "trusted": true
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n",
            "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
            "[nltk_data]     /root/nltk_data...\n",
            "[nltk_data]   Unzipping taggers/averaged_perceptron_tagger.zip.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[('even', 'RB'), ('know', 'VBP'), ('random', 'NN'), ('option', 'NN')], [('bottom', 'NN'), ('two', 'CD'), ('gone', 'VBN'), ('mkr', 'NN')], [('ladyboner', 'NN'), ('deserves', 'NNS'), ('much', 'JJ'), ('credit', 'NN'), ('dudeboner', 'NN'), ('bonerdebate', 'NN'), ('reddetails', 'NNS')], [('shall', 'MD'), ('known', 'VBN'), ('sourpuss', 'VB'), ('mkr', 'JJ'), ('katandre', 'NN'), ('failedfoodies', 'NNS')], [('tarah', 'NN'), ('w', 'NN'), ('threw', 'VBD'), ('bunch', 'JJ'), ('women', 'NNS'), ('bus', 'NN'), ('could', 'MD'), ('get', 'VB'), ('wadhwas', 'JJ'), ('support', 'NN'), ('women', 'NNS'), ('tech', 'VBP'), ('book', 'NN')], [('trust', 'NN'), ('adult', 'NN'), ('uses', 'VBZ'), ('coupons', 'NNS')], [('mkr', 'NN')], [('returns', 'NNS'), ('couples', 'VBZ'), ('intruders', 'NNS'), ('gate', 'JJ'), ('crashers', 'NNS'), ('secondchancers', 'NNS'), ('eliminated', 'VBD'), ('mkr', 'NN')], [('abuse', 'NN'), ('comes', 'VBZ'), ('gamergate', 'JJ'), ('accounts', 'NNS'), ('days', 'NNS'), ('old', 'JJ')], [('great', 'JJ'), ('see', 'VB'), ('local', 'JJ'), ('national', 'JJ'), ('park', 'NN'), ('workers', 'NNS'), ('tucking', 'VBG'), ('free', 'JJ'), ('feed', 'NN'), ('empty', 'JJ'), ('loos', 'NN'), ('instead', 'RB'), ('mkr', 'NN')]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Visualize the most occuring words"
      ],
      "metadata": {
        "id": "gZqxf7pF3qzQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from collections import Counter\n",
        "from wordcloud import WordCloud, ImageColorGenerator\n",
        "pos_data = data.loc[data['sexist'] == True]\n",
        "pos_head_lines = CleanTokenize(pos_data)\n",
        "pos_lines = [j for sub in pos_head_lines for j in sub]\n",
        "word_could_dict=Counter(pos_lines)\n",
        "\n",
        "wordcloud = WordCloud(width = 500, height = 350).generate_from_frequencies(word_could_dict)\n",
        "plt.figure(figsize=(12,6))\n",
        "plt.imshow(wordcloud)\n",
        "plt.axis(\"off\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 516
        },
        "id": "G8JByh_R3qzQ",
        "outputId": "949aa999-0c38-4952-f7e3-be9afcb02247",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:30:58.685790Z",
          "iopub.execute_input": "2023-04-27T19:30:58.686880Z",
          "iopub.status.idle": "2023-04-27T19:31:00.028172Z",
          "shell.execute_reply.started": "2023-04-27T19:30:58.686836Z",
          "shell.execute_reply": "2023-04-27T19:31:00.027278Z"
        },
        "trusted": true
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(-0.5, 499.5, 349.5, -0.5)"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Train-test split"
      ],
      "metadata": {
        "id": "023tsTPi3qzQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "validation_split = 0.2\n",
        "max_length = 100\n",
        "\n",
        "\n",
        "tokenizer_obj = Tokenizer()\n",
        "tokenizer_obj.fit_on_texts(head_lines)\n",
        "sequences = tokenizer_obj.texts_to_sequences(head_lines)\n",
        "\n",
        "word_index = tokenizer_obj.word_index\n",
        "print(\"unique tokens - \",len(word_index))\n",
        "vocab_size = len(tokenizer_obj.word_index) + 1\n",
        "print('vocab size -', vocab_size)\n",
        "\n",
        "lines_pad = pad_sequences(sequences, maxlen=max_length, padding='post')\n",
        "sentiment =  data['sexist'].values\n",
        "\n",
        "indices = np.arange(lines_pad.shape[0])\n",
        "np.random.shuffle(indices)\n",
        "lines_pad = lines_pad[indices]\n",
        "sentiment = sentiment[indices]\n",
        "\n",
        "num_validation_samples = int(validation_split * lines_pad.shape[0])\n",
        "\n",
        "X_train_pad = lines_pad[:-num_validation_samples]\n",
        "y_train = sentiment[:-num_validation_samples]\n",
        "X_test_pad = lines_pad[-num_validation_samples:]\n",
        "y_test = sentiment[-num_validation_samples:]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mn2tMkLG3qzQ",
        "outputId": "8997d250-6691-4aa8-a1f6-a8bfb059a395",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:00.032281Z",
          "iopub.execute_input": "2023-04-27T19:31:00.033576Z",
          "iopub.status.idle": "2023-04-27T19:31:00.262010Z",
          "shell.execute_reply.started": "2023-04-27T19:31:00.033539Z",
          "shell.execute_reply": "2023-04-27T19:31:00.260812Z"
        },
        "trusted": true
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "unique tokens -  13687\n",
            "vocab size - 13688\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print('Shape of X_train_pad:', X_train_pad.shape)\n",
        "print('Shape of y_train:', y_train.shape)\n",
        "\n",
        "print('Shape of X_test_pad:', X_test_pad.shape)\n",
        "print('Shape of y_test:', y_test.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QZ__G3QJ3qzQ",
        "outputId": "13a11535-7269-49af-8652-5909327cea2b",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:00.263490Z",
          "iopub.execute_input": "2023-04-27T19:31:00.265004Z",
          "iopub.status.idle": "2023-04-27T19:31:00.272128Z",
          "shell.execute_reply.started": "2023-04-27T19:31:00.264964Z",
          "shell.execute_reply": "2023-04-27T19:31:00.269723Z"
        },
        "trusted": true
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape of X_train_pad: (10905, 100)\n",
            "Shape of y_train: (10905,)\n",
            "Shape of X_test_pad: (2726, 100)\n",
            "Shape of y_test: (2726,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# GloVe model"
      ],
      "metadata": {
        "id": "deI5mUSL3qzQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "embeddings_index = {}\n",
        "embedding_dim = 100\n",
        "with open(os.path.join('glove.twitter.27B.100d.txt'), encoding = \"utf-8\") as f:\n",
        "    for line in f:\n",
        "        values = line.split()\n",
        "        word = values[0]\n",
        "        coefs = np.asarray(values[1:], dtype='float32')\n",
        "        embeddings_index[word] = coefs\n",
        "\n",
        "print('Found %s word vectors.' % len(embeddings_index))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zy83t4a33qzQ",
        "outputId": "bbc3561f-d52d-4370-d375-56a4e2d7a8a8",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:00.273618Z",
          "iopub.execute_input": "2023-04-27T19:31:00.274348Z",
          "iopub.status.idle": "2023-04-27T19:31:29.812808Z",
          "shell.execute_reply.started": "2023-04-27T19:31:00.274305Z",
          "shell.execute_reply": "2023-04-27T19:31:29.810520Z"
        },
        "trusted": true
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 4907 word vectors.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Extract features"
      ],
      "metadata": {
        "id": "R4FqW-pUsSoD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "\n",
        "# Define a function to extract features from a list of preprocessed text using the GloVe embeddings\n",
        "def extract_features(text, embeddings_index, embedding_dim):\n",
        "    # Initialize the feature vector with zeros\n",
        "    feature_vec = np.zeros((embedding_dim,))\n",
        "    # Initialize a counter for the number of words\n",
        "    n_words = 0\n",
        "    # Loop over each word in the text\n",
        "    for word in text:\n",
        "        # Check if the word is in the embeddings index\n",
        "        if word in embeddings_index:\n",
        "            # Add the word vector to the feature vector\n",
        "            feature_vec += embeddings_index[word]\n",
        "            # Increment the word counter\n",
        "            n_words += 1\n",
        "    # Divide the feature vector by the number of words to get the average\n",
        "    if n_words > 0:\n",
        "        feature_vec /= n_words\n",
        "    return feature_vec\n",
        "\n",
        "# Set the embedding dimension\n",
        "embedding_dim = 100\n",
        "\n",
        "# Apply the extract_features function to the 'text' column\n",
        "data['features'] = data['text'].apply(lambda text: extract_features(text.split(), embeddings_index, embedding_dim))\n",
        "print(data[\"features\"])"
      ],
      "metadata": {
        "id": "yNBOuKpRs8qf",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:29.814339Z",
          "iopub.execute_input": "2023-04-27T19:31:29.817032Z",
          "iopub.status.idle": "2023-04-27T19:31:30.151993Z",
          "shell.execute_reply.started": "2023-04-27T19:31:29.816990Z",
          "shell.execute_reply": "2023-04-27T19:31:30.150828Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e8c3ccbf-580b-4340-9de4-ca77e9a83624"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n",
            "1        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n",
            "2        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n",
            "3        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n",
            "4        [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n",
            "                               ...                        \n",
            "13626    [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n",
            "13627    [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n",
            "13628    [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n",
            "13629    [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n",
            "13630    [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n",
            "Name: features, Length: 13631, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Logistic Regression Model\n"
      ],
      "metadata": {
        "id": "KDdyIISh3i43"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "# Initialize the logistic regression model\n",
        "lr_model = LogisticRegression()\n",
        "\n",
        "# Train the model on the training set\n",
        "lr_model.fit(X_train_pad, y_train)\n",
        "\n",
        "# Predict the labels for the test set\n",
        "y_pred = lr_model.predict(X_test_pad)\n",
        "\n",
        "# Evaluate the accuracy of the model\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "print('Accuracy: {:.2f}%'.format(accuracy*100))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5SzJveRJt0QO",
        "outputId": "23f3e523-6fa1-48ed-a71e-e9cb64cf18d9",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:30.153445Z",
          "iopub.execute_input": "2023-04-27T19:31:30.154123Z",
          "iopub.status.idle": "2023-04-27T19:31:30.437379Z",
          "shell.execute_reply.started": "2023-04-27T19:31:30.154084Z",
          "shell.execute_reply": "2023-04-27T19:31:30.435952Z"
        },
        "trusted": true
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 87.16%\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Naive Bayes Model"
      ],
      "metadata": {
        "id": "OLqvNR5xpReq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"sexism_data.csv\")"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:30.442057Z",
          "iopub.execute_input": "2023-04-27T19:31:30.446434Z",
          "iopub.status.idle": "2023-04-27T19:31:30.532580Z",
          "shell.execute_reply.started": "2023-04-27T19:31:30.446364Z",
          "shell.execute_reply": "2023-04-27T19:31:30.530445Z"
        },
        "trusted": true,
        "id": "xTZ9j4LogQpb"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"sexist\"] = df[\"sexist\"].map({False: \"Not misogynist\", True: \"is misogynist\"})\n",
        "\n",
        "print(df.head())"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:30.540926Z",
          "iopub.execute_input": "2023-04-27T19:31:30.551125Z",
          "iopub.status.idle": "2023-04-27T19:31:30.571146Z",
          "shell.execute_reply.started": "2023-04-27T19:31:30.551064Z",
          "shell.execute_reply": "2023-04-27T19:31:30.569913Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wtqypKIygQpc",
        "outputId": "c96b2eff-addd-42db-adb8-3a292f2bbed2"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "   id dataset                                               text  toxicity  \\\n",
            "0   0   other  MENTION3481 i didn't even know random was an o...  0.118180   \n",
            "1   1   other                   Bottom two should've gone!  #mkr  0.251850   \n",
            "2   2  callme  MENTION3111 MENTION3424 ladyboner deserves so ...  0.113331   \n",
            "3   3   other  She shall now be known as Sourpuss #MKR #KatAn...  0.531153   \n",
            "4   4   other  Tarah W threw a bunch of women under the bus s...  0.118718   \n",
            "\n",
            "           sexist  of_id  \n",
            "0  Not misogynist     -1  \n",
            "1  Not misogynist     -1  \n",
            "2  Not misogynist     -1  \n",
            "3  Not misogynist     -1  \n",
            "4  Not misogynist     -1  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.naive_bayes import BernoulliNB\n",
        "df = df[[\"text\", \"sexist\"]]\n",
        "x = np.array(df[\"text\"])\n",
        "y = np.array(df[\"sexist\"])\n",
        "\n",
        "cv = CountVectorizer()\n",
        "X = cv.fit_transform(x) # Fit the Data\n",
        "X_trainNB, X_testNB, y_trainNB, y_testNB = train_test_split(X, y, test_size=0.60, random_state=30)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:30.574356Z",
          "iopub.execute_input": "2023-04-27T19:31:30.574626Z",
          "iopub.status.idle": "2023-04-27T19:31:30.807804Z",
          "shell.execute_reply.started": "2023-04-27T19:31:30.574600Z",
          "shell.execute_reply": "2023-04-27T19:31:30.806804Z"
        },
        "trusted": true,
        "id": "usNXngzjgQpd"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "modelNB = BernoulliNB()\n",
        "modelNB.fit(X_trainNB, y_trainNB)\n",
        "print(modelNB.score(X_testNB, y_testNB))"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:30.809298Z",
          "iopub.execute_input": "2023-04-27T19:31:30.810467Z",
          "iopub.status.idle": "2023-04-27T19:31:30.845290Z",
          "shell.execute_reply.started": "2023-04-27T19:31:30.810418Z",
          "shell.execute_reply": "2023-04-27T19:31:30.844119Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6pL40oSdgQpd",
        "outputId": "52bfd2d5-6c69-4f97-ae69-6505fbecf3ff"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.8696662183641032\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Build the embedding layer"
      ],
      "metadata": {
        "id": "4ORT-C5E3qzR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "embedding_matrix = np.zeros((len(word_index) + 1, embedding_dim))\n",
        "c = 0\n",
        "for word, i in word_index.items():\n",
        "    embedding_vector = embeddings_index.get(word)\n",
        "    if embedding_vector is not None:\n",
        "        c+=1\n",
        "        embedding_matrix[i] = embedding_vector\n",
        "print(c)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vX88SPO03qzR",
        "outputId": "ff7a91be-8643-4654-d371-a2625de292d8",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:30.846871Z",
          "iopub.execute_input": "2023-04-27T19:31:30.847342Z",
          "iopub.status.idle": "2023-04-27T19:31:30.881106Z",
          "shell.execute_reply.started": "2023-04-27T19:31:30.847304Z",
          "shell.execute_reply": "2023-04-27T19:31:30.880068Z"
        },
        "trusted": true
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2001\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "embedding_layer = Embedding(len(word_index) + 1,\n",
        "                            embedding_dim,\n",
        "                            weights=[embedding_matrix],\n",
        "                            input_length=max_length,\n",
        "                            trainable=False)"
      ],
      "metadata": {
        "id": "PhARNO4E3qzR",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:30.882563Z",
          "iopub.execute_input": "2023-04-27T19:31:30.882944Z",
          "iopub.status.idle": "2023-04-27T19:31:30.899194Z",
          "shell.execute_reply.started": "2023-04-27T19:31:30.882909Z",
          "shell.execute_reply": "2023-04-27T19:31:30.898080Z"
        },
        "trusted": true
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Build the RNN (Bidirectional LSTM)"
      ],
      "metadata": {
        "id": "hRbS2lBW3qzR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Embedding, Conv1D, MaxPooling1D, Flatten, Dense, LSTM, Bidirectional, Dropout\n",
        "\n",
        "model = Sequential()\n",
        "model.add(embedding_layer)\n",
        "model.add(Conv1D(128, 5, activation='relu', padding='same'))\n",
        "model.add(MaxPooling1D(pool_size=2))\n",
        "model.add(Conv1D(64, 5, activation='relu', padding='same'))\n",
        "model.add(MaxPooling1D(pool_size=2))\n",
        "model.add(Conv1D(32, 5, activation='relu', padding='same'))\n",
        "model.add(MaxPooling1D(pool_size=2))\n",
        "model.add(Bidirectional(LSTM(128, dropout=0.2, recurrent_dropout=0.1)))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Dense(128, activation='relu'))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Dense(1, activation='sigmoid'))\n",
        "\n",
        "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['acc'])\n",
        "print('Summary of the built model...')\n",
        "print(model.summary())\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tBolGuPY3qzR",
        "outputId": "eb732103-029d-4523-cf66-21c31c8262e9",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:30.901683Z",
          "iopub.execute_input": "2023-04-27T19:31:30.902274Z",
          "iopub.status.idle": "2023-04-27T19:31:35.408353Z",
          "shell.execute_reply.started": "2023-04-27T19:31:30.902237Z",
          "shell.execute_reply": "2023-04-27T19:31:35.407567Z"
        },
        "trusted": true
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Summary of the built model...\n",
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " embedding (Embedding)       (None, 100, 100)          1368800   \n",
            "                                                                 \n",
            " conv1d (Conv1D)             (None, 100, 128)          64128     \n",
            "                                                                 \n",
            " max_pooling1d (MaxPooling1  (None, 50, 128)           0         \n",
            " D)                                                              \n",
            "                                                                 \n",
            " conv1d_1 (Conv1D)           (None, 50, 64)            41024     \n",
            "                                                                 \n",
            " max_pooling1d_1 (MaxPoolin  (None, 25, 64)            0         \n",
            " g1D)                                                            \n",
            "                                                                 \n",
            " conv1d_2 (Conv1D)           (None, 25, 32)            10272     \n",
            "                                                                 \n",
            " max_pooling1d_2 (MaxPoolin  (None, 12, 32)            0         \n",
            " g1D)                                                            \n",
            "                                                                 \n",
            " bidirectional (Bidirection  (None, 256)               164864    \n",
            " al)                                                             \n",
            "                                                                 \n",
            " dropout (Dropout)           (None, 256)               0         \n",
            "                                                                 \n",
            " dense (Dense)               (None, 128)               32896     \n",
            "                                                                 \n",
            " dropout_1 (Dropout)         (None, 128)               0         \n",
            "                                                                 \n",
            " dense_1 (Dense)             (None, 1)                 129       \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 1682113 (6.42 MB)\n",
            "Trainable params: 313313 (1.20 MB)\n",
            "Non-trainable params: 1368800 (5.22 MB)\n",
            "_________________________________________________________________\n",
            "None\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## *Training*"
      ],
      "metadata": {
        "id": "xhSPVSFL3qzR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "history = model.fit(X_train_pad, y_train, batch_size=128, epochs=15, validation_data=(X_test_pad, y_test), verbose=2)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Pltk-RS63qzR",
        "outputId": "e1920964-c190-4efa-9b8b-0cbc7b724f12",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:31:35.409426Z",
          "iopub.execute_input": "2023-04-27T19:31:35.409812Z",
          "iopub.status.idle": "2023-04-27T19:35:03.403000Z",
          "shell.execute_reply.started": "2023-04-27T19:31:35.409771Z",
          "shell.execute_reply": "2023-04-27T19:35:03.401807Z"
        },
        "trusted": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/15\n",
            "86/86 - 37s - loss: 0.3775 - acc: 0.8585 - val_loss: 0.2585 - val_acc: 0.8701 - 37s/epoch - 435ms/step\n",
            "Epoch 2/15\n",
            "86/86 - 26s - loss: 0.2517 - acc: 0.8736 - val_loss: 0.2294 - val_acc: 0.8918 - 26s/epoch - 305ms/step\n",
            "Epoch 3/15\n",
            "86/86 - 29s - loss: 0.2163 - acc: 0.8949 - val_loss: 0.2289 - val_acc: 0.8903 - 29s/epoch - 332ms/step\n",
            "Epoch 4/15\n",
            "86/86 - 32s - loss: 0.1926 - acc: 0.9089 - val_loss: 0.2384 - val_acc: 0.8767 - 32s/epoch - 375ms/step\n",
            "Epoch 5/15\n",
            "86/86 - 31s - loss: 0.1667 - acc: 0.9225 - val_loss: 0.2847 - val_acc: 0.8822 - 31s/epoch - 357ms/step\n",
            "Epoch 6/15\n",
            "86/86 - 30s - loss: 0.1289 - acc: 0.9428 - val_loss: 0.2900 - val_acc: 0.8841 - 30s/epoch - 350ms/step\n",
            "Epoch 7/15\n",
            "86/86 - 29s - loss: 0.1074 - acc: 0.9563 - val_loss: 0.3135 - val_acc: 0.8855 - 29s/epoch - 341ms/step\n",
            "Epoch 8/15\n",
            "86/86 - 29s - loss: 0.0899 - acc: 0.9633 - val_loss: 0.3882 - val_acc: 0.8797 - 29s/epoch - 339ms/step\n",
            "Epoch 9/15\n",
            "86/86 - 29s - loss: 0.0819 - acc: 0.9682 - val_loss: 0.3213 - val_acc: 0.8771 - 29s/epoch - 337ms/step\n",
            "Epoch 10/15\n",
            "86/86 - 30s - loss: 0.0670 - acc: 0.9742 - val_loss: 0.4075 - val_acc: 0.8753 - 30s/epoch - 353ms/step\n",
            "Epoch 11/15\n",
            "86/86 - 30s - loss: 0.0555 - acc: 0.9804 - val_loss: 0.4112 - val_acc: 0.8793 - 30s/epoch - 351ms/step\n",
            "Epoch 12/15\n",
            "86/86 - 29s - loss: 0.0479 - acc: 0.9842 - val_loss: 0.4284 - val_acc: 0.8877 - 29s/epoch - 338ms/step\n",
            "Epoch 13/15\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for epoch, acc in enumerate(history.history['acc']):\n",
        "    print(\"Epoch {}: training accuracy = {:.4f}\".format(epoch+1, acc))"
      ],
      "metadata": {
        "id": "Vu7fAKVq1xyC",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:35:03.404856Z",
          "iopub.execute_input": "2023-04-27T19:35:03.405174Z",
          "iopub.status.idle": "2023-04-27T19:35:03.411619Z",
          "shell.execute_reply.started": "2023-04-27T19:35:03.405146Z",
          "shell.execute_reply": "2023-04-27T19:35:03.410564Z"
        },
        "trusted": true
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Evaluate the model on the test set\n",
        "test_loss, test_accuracy = model.evaluate(X_test_pad, y_test, verbose=0)\n",
        "\n",
        "# Print the test accuracy\n",
        "print('Test accuracy:', test_accuracy)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kb7ZmcUA6i4u",
        "outputId": "7799ebea-7871-48ff-f971-cb1bf79c5c12",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:35:03.413178Z",
          "iopub.execute_input": "2023-04-27T19:35:03.413817Z",
          "iopub.status.idle": "2023-04-27T19:35:04.471566Z",
          "shell.execute_reply.started": "2023-04-27T19:35:03.413781Z",
          "shell.execute_reply": "2023-04-27T19:35:04.470459Z"
        },
        "trusted": true
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "Test accuracy: 0.9020543098449707\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## *Visualize the learning*"
      ],
      "metadata": {
        "id": "32ZEiZkh3qzR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot results\n",
        "acc = history.history['acc']\n",
        "val_acc = history.history['val_acc']\n",
        "loss = history.history['loss']\n",
        "val_loss = history.history['val_loss']\n",
        "\n",
        "epochs = range(1, len(acc)+1)\n",
        "\n",
        "plt.plot(epochs, acc, 'g', label='Training accuracy')\n",
        "plt.plot(epochs, val_acc, 'r', label='Validation accuracy')\n",
        "plt.title('Training and validation accuracy')\n",
        "plt.legend()\n",
        "\n",
        "plt.figure()\n",
        "\n",
        "plt.plot(epochs, loss, 'g', label='Training loss')\n",
        "plt.plot(epochs, val_loss, 'r', label='Validation loss')\n",
        "plt.title('Training and validation loss')\n",
        "plt.legend()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 887
        },
        "id": "MPte-9ub3qzR",
        "outputId": "5c9b8f0e-5b68-43da-f929-507ad8ef36bd",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:35:04.473279Z",
          "iopub.execute_input": "2023-04-27T19:35:04.473660Z",
          "iopub.status.idle": "2023-04-27T19:35:04.930115Z",
          "shell.execute_reply.started": "2023-04-27T19:35:04.473623Z",
          "shell.execute_reply": "2023-04-27T19:35:04.929029Z"
        },
        "trusted": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "<hr>\n",
        "<h2><i>Can this model detect Misogyny?</i></h2>"
      ],
      "metadata": {
        "id": "Z9oEhL0d3qzS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def detect_misogyny(s):\n",
        "    x_final = pd.DataFrame({\"text\":[s]})\n",
        "    test_lines = CleanTokenize(x_final)\n",
        "    test_sequences = tokenizer_obj.texts_to_sequences(test_lines)\n",
        "    test_review_pad = pad_sequences(test_sequences, maxlen=max_length, padding='post')\n",
        "    y_pred =model.predict(test_review_pad)\n",
        "    y_pred*=100\n",
        "    if y_pred[0][0]>=87:\n",
        "        print(y_pred[0][0])\n",
        "        return \"You're a misogynist\"\n",
        "    else: return \"You're good to go.\""
      ],
      "metadata": {
        "id": "yVwQCdrC3qzS",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:35:04.931586Z",
          "iopub.execute_input": "2023-04-27T19:35:04.933281Z",
          "iopub.status.idle": "2023-04-27T19:35:04.940195Z",
          "shell.execute_reply.started": "2023-04-27T19:35:04.933238Z",
          "shell.execute_reply": "2023-04-27T19:35:04.939202Z"
        },
        "trusted": true
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### *Correct guesses*"
      ],
      "metadata": {
        "id": "x1nwR70o3qzS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "detect_misogyny(\"Why do women want to study? they have to get married and cook in the kitchen later on\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "yZT8bAiH3qzS",
        "outputId": "cb2ca80d-f2b0-4eff-87d6-557cb66ae4c1",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:35:04.941885Z",
          "iopub.execute_input": "2023-04-27T19:35:04.942424Z",
          "iopub.status.idle": "2023-04-27T19:35:05.576768Z",
          "shell.execute_reply.started": "2023-04-27T19:35:04.942383Z",
          "shell.execute_reply": "2023-04-27T19:35:05.575810Z"
        },
        "trusted": true
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "1/1 [==============================] - 1s 576ms/step\n99.33819\n",
          "output_type": "stream"
        },
        {
          "execution_count": 27,
          "output_type": "execute_result",
          "data": {
            "text/plain": "\"You're a misogynist\""
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "detect_misogyny(\"Don’t talk about periods in front of men in the house. It is shameful.\")\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "K3jjDZQTw_ma",
        "outputId": "c7350d8c-ab4d-4f18-98bc-54a7f0d8c9a7",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:35:05.582503Z",
          "iopub.execute_input": "2023-04-27T19:35:05.584555Z",
          "iopub.status.idle": "2023-04-27T19:35:05.656474Z",
          "shell.execute_reply.started": "2023-04-27T19:35:05.584518Z",
          "shell.execute_reply": "2023-04-27T19:35:05.655578Z"
        },
        "trusted": true
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "1/1 [==============================] - 0s 26ms/step\n96.15635\n",
          "output_type": "stream"
        },
        {
          "execution_count": 28,
          "output_type": "execute_result",
          "data": {
            "text/plain": "\"You're a misogynist\""
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "detect_misogyny(\"girls cant drive\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "s9grAL4v15tc",
        "outputId": "fd10d117-8db3-45ad-fac6-aaa8017ab626",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:35:05.729039Z",
          "iopub.execute_input": "2023-04-27T19:35:05.729867Z",
          "iopub.status.idle": "2023-04-27T19:35:05.799282Z",
          "shell.execute_reply.started": "2023-04-27T19:35:05.729830Z",
          "shell.execute_reply": "2023-04-27T19:35:05.798224Z"
        },
        "trusted": true
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "1/1 [==============================] - 0s 26ms/step\n93.58936\n",
          "output_type": "stream"
        },
        {
          "execution_count": 30,
          "output_type": "execute_result",
          "data": {
            "text/plain": "\"You're a misogynist\""
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "detect_misogyny(\"women cant play sports\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "-hO-ZDLN3BHs",
        "outputId": "88d0d30b-82fd-45e3-c8eb-2e46af5d0a46",
        "execution": {
          "iopub.status.busy": "2023-04-27T19:35:05.800502Z",
          "iopub.execute_input": "2023-04-27T19:35:05.800797Z",
          "iopub.status.idle": "2023-04-27T19:35:05.870719Z",
          "shell.execute_reply.started": "2023-04-27T19:35:05.800762Z",
          "shell.execute_reply": "2023-04-27T19:35:05.869637Z"
        },
        "trusted": true
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "1/1 [==============================] - 0s 26ms/step\n99.96399\n",
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        {
          "execution_count": 31,
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        "detect_misogyny(\"boys will be boys\")\n"
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        {
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        "detect_misogyny(\"let the men handle the technical ppts\")"
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          "name": "stdout",
          "text": "1/1 [==============================] - 0s 25ms/step\n99.962425\n",
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        {
          "execution_count": 34,
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            "text/plain": "\"You're a misogynist\""
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        "detect_misogyny(\"you look beautiful today\")"
      ],
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        "trusted": true
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        {
          "name": "stdout",
          "text": "1/1 [==============================] - 0s 25ms/step\n",
          "output_type": "stream"
        },
        {
          "execution_count": 35,
          "output_type": "execute_result",
          "data": {
            "text/plain": "\"You're good to go.\""
          },
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        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "detect_misogyny(\"the girls of this batch are very smart\")"
      ],
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          "height": 53
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        "trusted": true
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "1/1 [==============================] - 0s 26ms/step\n",
          "output_type": "stream"
        },
        {
          "execution_count": 36,
          "output_type": "execute_result",
          "data": {
            "text/plain": "\"You're good to go.\""
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "detect_misogyny(\"girls should focus on marriage\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 176
        },
        "id": "bNElvHNhgxNN",
        "outputId": "4726bff5-5b85-4f00-fcc1-a5ee70125a6c"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-4-735a445d9686>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdetect_misogyny\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"girls should focus on marriage\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m: name 'detect_misogyny' is not defined"
          ]
        }
      ]
    }
  ]
}