visualization_of_corpus.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "visualization of corpus.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uXBNLXkUfJNE"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from timeit import default_timer as timer\n",
        "from datetime import timedelta\n",
        "import re\n",
        "import pickle\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "import matplotlib.pyplot as plt "
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# load raw data file for quotes and non quotes\n",
        "\n",
        "nonquoteFile = open (\"/content/drive/MyDrive/quote classification/row data/nonquote.txt\", \"rb\")\n",
        "nonquote = pickle.load(nonquoteFile)\n",
        "\n",
        "quoteFile = open (\"/content/drive/MyDrive/quote classification/row data/quote.txt\", \"rb\")\n",
        "quote = pickle.load(quoteFile)"
      ],
      "metadata": {
        "id": "PfBzMFLQ2Mux"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# convert pickle object to iterable list  \n",
        "quote=list(quote)\n",
        "nonquote=list(nonquote)"
      ],
      "metadata": {
        "id": "_zKzhsli5xI5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def get_top_n_words(corpus, n=None,ngram=(1, 1),stopwords=None):\n",
        "  \"\"\"\n",
        "    @params\n",
        "\n",
        "    corpus : list of text from which word frequency to be generated (required)\n",
        "    n : number of sample words to be return\n",
        "    ngram : tuple stating size of ngram\n",
        "    stopwords : string stating stopwords to be used\n",
        "  \"\"\"\n",
        "  vec = CountVectorizer(ngram_range=ngram,stop_words =stopwords).fit(corpus)\n",
        "  bag_of_words = vec.transform(corpus)\n",
        "  sum_words = bag_of_words.sum(axis=0) \n",
        "  words_freq = [(word, sum_words[0, idx]) for word, idx in vec.vocabulary_.items()]\n",
        "  words_freq =sorted(words_freq, key = lambda x: x[1], reverse=True)\n",
        "  return words_freq[:n]"
      ],
      "metadata": {
        "id": "bFt-0nsW6Md_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "## **Ploting most frequent words without removing stop words** \n"
      ],
      "metadata": {
        "id": "bju7pZeleYz4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# frequncy plot for quotes\n",
        "quotes_freq = get_top_n_words(quote, 20)\n",
        "freq_df = pd.DataFrame(quotes_freq, columns = ['text' , 'Count'])\n",
        "plt.figure(figsize=(15,6))\n",
        "freq_df.groupby('text').sum()['Count'].sort_values(ascending=False).plot(\n",
        "    kind='bar', x='text', y='Count', title='Top 20 words in quotes before removing stop words')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "P26vNQEN6n44",
        "outputId": "e1f61122-d462-4719-c4e1-00751cef7307"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa8e4092fd0>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# frequncy plot for non quotes\n",
        "nonquotes_freq = get_top_n_words(nonquote, 20)\n",
        "freq_df = pd.DataFrame(nonquotes_freq, columns = ['text' , 'Count'])\n",
        "plt.figure(figsize=(15,6))\n",
        "freq_df.groupby('text').sum()['Count'].sort_values(ascending=False).plot(\n",
        "    kind='bar', x='text', y='Count', title='Top 20 words in non quotes before removing stop words')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "d6_3bCoxhDX3",
        "outputId": "c2910f49-f70a-4b48-d4cb-86c9e3fcb1ca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa8e5518590>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Ploting most frequent words after removing stop**"
      ],
      "metadata": {
        "id": "A_RF3u4whah7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# frequncy plot for quotes\n",
        "quotes_freq = get_top_n_words(corpus=quote, n=20,stopwords='english')\n",
        "freq_df = pd.DataFrame(quotes_freq, columns = ['text' , 'Count'])\n",
        "plt.figure(figsize=(15,6))\n",
        "freq_df.groupby('text').sum()['Count'].sort_values(ascending=False).plot(\n",
        "    kind='bar', x='text', y='Count', title='Top 20 words in quotes after removing stop words')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 446
        },
        "id": "a0nHPh3Xhhb5",
        "outputId": "da7a9ad1-3699-4cc2-a534-46d9e7d8f4e4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa8e40b2410>"
            ]
          },
          "metadata": {},
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# frequncy plot for non quotes\n",
        "nonquotes_freq = get_top_n_words(corpus=nonquote, n=20,stopwords='english')\n",
        "freq_df = pd.DataFrame(nonquotes_freq, columns = ['text' , 'Count'])\n",
        "plt.figure(figsize=(15,6))\n",
        "freq_df.groupby('text').sum()['Count'].sort_values(ascending=False).plot(\n",
        "    kind='bar', x='text', y='Count', title='Top 20 words in  non quotes after removing stop words')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "y6bV2NGFh9KL",
        "outputId": "5c88f7c4-34a7-4210-863a-9931ec2e75b7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa8e45e7f50>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Ploting bigram and trigram of quotes after removing stopwords**"
      ],
      "metadata": {
        "id": "MnRH25hriNpg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# bigram plot for quotes\n",
        "quotes_freq = get_top_n_words(corpus=quote, n=20,stopwords='english',ngram=(2,2))\n",
        "freq_df = pd.DataFrame(quotes_freq, columns = ['text' , 'Count'])\n",
        "plt.figure(figsize=(15,6))\n",
        "freq_df.groupby('text').sum()['Count'].sort_values(ascending=False).plot(\n",
        "    kind='bar', x='text', y='Count', title='Top 20 words in quotes after removing stop words')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        },
        "id": "5xK3R7oziYWt",
        "outputId": "f1f1b2f2-7342-4c60-dec0-02c2ac1eafee"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa8e4efb510>"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# trigram plot for quotes\n",
        "quotes_freq = get_top_n_words(corpus=quote, n=20,stopwords='english',ngram=(3,3))\n",
        "freq_df = pd.DataFrame(quotes_freq, columns = ['text' , 'Count'])\n",
        "plt.figure(figsize=(15,6))\n",
        "freq_df.groupby('text').sum()['Count'].sort_values(ascending=False).plot(\n",
        "    kind='bar', x='text', y='Count', title='Top 20 words in quotes after removing stop words')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 508
        },
        "id": "-bm0Aowoi3lY",
        "outputId": "d4b4673c-a11d-4101-e8d8-72ee15f94b95"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa8e4fc0310>"
            ]
          },
          "metadata": {},
          "execution_count": 19
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
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          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}