Tokenization_stop_words_1.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/mahdid-lilia/SIC_Samsung-Innovation-Campus-AI-Course/blob/main/Tokenization_stop_words_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Tokenization"
      ],
      "metadata": {
        "id": "FxcQJS9sKw3W"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cWSxpaP0KTZi",
        "outputId": "fd27b0d2-ff5a-4e88-8fd7-e75ca12f4c7f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: nltk in /usr/local/lib/python3.7/dist-packages (3.7)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from nltk) (1.1.0)\n",
            "Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.7/dist-packages (from nltk) (2022.6.2)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from nltk) (4.64.1)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from nltk) (7.1.2)\n"
          ]
        }
      ],
      "source": [
        "!pip install nltk"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import nltk\n",
        "import re"
      ],
      "metadata": {
        "id": "NeykHyQBK_Gw"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# You should download the NLTK data once.\n",
        "# It can be a bit time consuming.\n",
        "nltk.download('punkt')\n",
        "nltk.download('stopwords')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gey5pUi4K8cI",
        "outputId": "e7dd8d5e-5d12-4479-cf22-0a509a15af4d"
      },
      "execution_count": 3,
      "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"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sentence=\" Don't be fooled by the dark sounding name, Mr. Jone's  Orphanage is as cheery goes for a past\""
      ],
      "metadata": {
        "id": "qQ370btBK_hk"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**word tokenize**  separated Don't into Do n't , but Jone's  into Jone and 's"
      ],
      "metadata": {
        "id": "-Lg4YW2vMJq6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.tokenize import word_tokenize\n",
        "print(word_tokenize(sentence))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zp37dDkTLyMD",
        "outputId": "1175435c-7574-4852-ab34-8a6820c690fa"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['Do', \"n't\", 'be', 'fooled', 'by', 'the', 'dark', 'sounding', 'name', ',', 'Mr.', 'Jone', \"'s\", 'Orphanage', 'is', 'as', 'cheery', 'goes', 'for', 'a', 'past']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.tokenize import WordPunctTokenizer\n",
        "print(WordPunctTokenizer().tokenize(sentence))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vQy8LV-7L-lL",
        "outputId": "57872294-84bc-475e-edbe-25c2d86e7bf8"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['Don', \"'\", 't', 'be', 'fooled', 'by', 'the', 'dark', 'sounding', 'name', ',', 'Mr', '.', 'Jone', \"'\", 's', 'Orphanage', 'is', 'as', 'cheery', 'goes', 'for', 'a', 'past']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.preprocessing.text import text_to_word_sequence\n",
        "print(text_to_word_sequence(sentence))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yMwrSvy6Mkib",
        "outputId": "b20bb86c-9c46-4d4a-ee93-548667e01f70"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[\"don't\", 'be', 'fooled', 'by', 'the', 'dark', 'sounding', 'name', 'mr', \"jone's\", 'orphanage', 'is', 'as', 'cheery', 'goes', 'for', 'a', 'past']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "TmlkPtAfBcve"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sentence = re.sub(r\"that's\",\"that is\",sentence)\n",
        "sentence = re.sub(r\"there's\",\"there is\",sentence)\n",
        "sentence = re.sub(r\"what's\",\"what is\",sentence)\n",
        "sentence = re.sub(r\"where's\",\"where is\",sentence)\n",
        "sentence = re.sub(r\"it's\",\"it is\",sentence)\n",
        "sentence = re.sub(r\"who's\",\"who is\",sentence)\n",
        "sentence = re.sub(r\"i'm\",\"i am\",sentence)\n",
        "sentence = re.sub(r\"she's\",\"she is\",sentence)\n",
        "sentence = re.sub(r\"he's\",\"he is\",sentence)\n",
        "sentence = re.sub(r\"they're\",\"they are\",sentence)\n",
        "sentence = re.sub(r\"who're\",\"who are\",sentence)\n",
        "sentence = re.sub(r\"ain't\",\"am not\",sentence)\n",
        "sentence = re.sub(r\"wouldn't\",\"would not\",sentence)\n",
        "sentence = re.sub(r\"shouldn't\",\"should not\",sentence)\n",
        "sentence = re.sub(r\"can't\",\"can not\",sentence)\n",
        "sentence = re.sub(r\"couldn't\",\"could not\",sentence)\n",
        "sentence = re.sub(r\"won't\",\"will not\",sentence)\n",
        "sentence = re.sub(r\"don't\",\"do not\",sentence)\n",
        "sentence = re.sub(r\"didn't\",\"did not\",sentence)"
      ],
      "metadata": {
        "id": "wv9BCWslNkRs"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Integer encoding"
      ],
      "metadata": {
        "id": "V-7OoibJBoph"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.preprocessing.text import Tokenizer\n",
        "sentences=[['barber', 'person'],\n",
        "           ['barber', 'good', 'person'], \n",
        "           ['barber', 'huge', 'person'],\n",
        "           ['knew', 'secret'],\n",
        "           ['secret', 'kept', 'huge', 'secret'],\n",
        "           ['huge', 'secret'], \n",
        "           ['barber', 'kept', 'word'],\n",
        "           ['barber', 'kept', 'word'],\n",
        "           ['barber', 'kept', 'secret'],\n",
        "           ['keeping', 'keeping', 'huge', 'secret', 'driving', 'barber', 'crazy'],\n",
        "           ['barber', 'went', 'huge', 'mountain']]"
      ],
      "metadata": {
        "id": "Rrk01TVRBzPA"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tokenizer = Tokenizer( oov_token=100)\n",
        "tokenizer.fit_on_texts(sentences) \n",
        "# When putting corpus in fit_on_texts(), it is possible to generate the group of words based on frequency."
      ],
      "metadata": {
        "id": "b5hTlm8iB8q4"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(tokenizer.word_index)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A3K-mrn4CKUT",
        "outputId": "fc91faee-2319-455a-fe7a-995875a287ac"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{100: 1, 'barber': 2, 'secret': 3, 'huge': 4, 'kept': 5, 'person': 6, 'word': 7, 'keeping': 8, 'good': 9, 'knew': 10, 'driving': 11, 'crazy': 12, 'went': 13, 'mountain': 14}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(tokenizer.word_counts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ipYsNr2ZCNeq",
        "outputId": "7f1431f6-0c7f-4fcc-e32a-4ab9791274d0"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "OrderedDict([('barber', 8), ('person', 3), ('good', 1), ('huge', 5), ('knew', 1), ('secret', 6), ('kept', 4), ('word', 2), ('keeping', 2), ('driving', 1), ('crazy', 1), ('went', 1), ('mountain', 1)])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "example =['student', 'don\"t' ,'like ']"
      ],
      "metadata": {
        "id": "wrZUTNBuDEM9"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tokenizer.texts_to_sequences(\n",
        "    example\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O_sDxfEwDRE1",
        "outputId": "06356299-8e21-4f6a-e807-e22bc60636e2"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[[1], [1, 1], [1]]"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Stop Words"
      ],
      "metadata": {
        "id": "RoqfKY9dO0sy"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![stop words.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "HJByaueZfJRs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.corpus import stopwords\n",
        "len(stopwords.words('english'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GNRw6R6BfISS",
        "outputId": "b011e8f0-5ac2-4381-b783-8d7bc030cae2"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "179"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.preprocessing.text import text_to_word_sequence\n",
        "example = \"Family is not an important thing. It's everything\".lower()\n",
        "example = re.sub(r\"it's\",\"it is\",example)\n",
        "\n",
        "stop_words= set(stopwords.words('english'))\n",
        "word_tokens= text_to_word_sequence(example)\n",
        "word_tokens"
      ],
      "metadata": {
        "id": "cr4vo3DlO31h",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "26429acf-7e90-4f36-d45b-989d14bab787"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['family', 'is', 'not', 'an', 'important', 'thing', 'it', 'is', 'everything']"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result = []\n",
        "for w in word_tokens:\n",
        "  if w not in stop_words:\n",
        "    result.append(w)\n",
        "\n",
        "print(word_tokens)\n",
        "print(result)"
      ],
      "metadata": {
        "id": "DMx1-w6AR8nE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "86130ecc-d6e0-4d9e-fb08-eb71acb7f1e3"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['family', 'is', 'not', 'an', 'important', 'thing', 'it', 'is', 'everything']\n",
            "['family', 'important', 'thing', 'everything']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Vlz6WYDth60N"
      },
      "execution_count": 17,
      "outputs": []
    }
  ]
}