Sentiment_Analysis_of_IMDB_Movie_Reviews.ipynb

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    "kaggle": {
      "accelerator": "none",
      "dataSources": [
        {
          "sourceId": 320111,
          "sourceType": "datasetVersion",
          "datasetId": 134715
        }
      ],
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      "isInternetEnabled": false,
      "language": "python",
      "sourceType": "notebook",
      "isGpuEnabled": false
    },
    "colab": {
      "name": " Sentiment Analysis of IMDB Movie Reviews",
      "provenance": [],
      "include_colab_link": true
    }
  },
  "nbformat_minor": 0,
  "nbformat": 4,
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/FaysArukattil/ICT-ML/blob/main/Sentiment_Analysis_of_IMDB_Movie_Reviews.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "source": [
        "\n",
        "\n",
        "import os\n",
        "import sys\n",
        "from tempfile import NamedTemporaryFile\n",
        "from urllib.request import urlopen\n",
        "from urllib.parse import unquote, urlparse\n",
        "from urllib.error import HTTPError\n",
        "from zipfile import ZipFile\n",
        "import tarfile\n",
        "import shutil\n",
        "\n",
        "CHUNK_SIZE = 40960\n",
        "DATA_SOURCE_MAPPING = ':https%3A%2F%2Fstorage.googleapis.com%2Fkaggle-data-sets%2F134715%2F320111%2Fbundle%2Farchive.zip%3FX-Goog-Algorithm%3DGOOG4-RSA-SHA256%26X-Goog-Credential%3Dgcp-kaggle-com%2540kaggle-161607.iam.gserviceaccount.com%252F20240330%252Fauto%252Fstorage%252Fgoog4_request%26X-Goog-Date%3D20240330T092736Z%26X-Goog-Expires%3D259200%26X-Goog-SignedHeaders%3Dhost%26X-Goog-Signature%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'\n",
        "\n",
        "KAGGLE_INPUT_PATH='/kaggle/input'\n",
        "KAGGLE_WORKING_PATH='/kaggle/working'\n",
        "KAGGLE_SYMLINK='kaggle'\n",
        "\n",
        "!umount /kaggle/input/ 2> /dev/null\n",
        "shutil.rmtree('/kaggle/input', ignore_errors=True)\n",
        "os.makedirs(KAGGLE_INPUT_PATH, 0o777, exist_ok=True)\n",
        "os.makedirs(KAGGLE_WORKING_PATH, 0o777, exist_ok=True)\n",
        "\n",
        "try:\n",
        "  os.symlink(KAGGLE_INPUT_PATH, os.path.join(\"..\", 'input'), target_is_directory=True)\n",
        "except FileExistsError:\n",
        "  pass\n",
        "try:\n",
        "  os.symlink(KAGGLE_WORKING_PATH, os.path.join(\"..\", 'working'), target_is_directory=True)\n",
        "except FileExistsError:\n",
        "  pass\n",
        "\n",
        "for data_source_mapping in DATA_SOURCE_MAPPING.split(','):\n",
        "    directory, download_url_encoded = data_source_mapping.split(':')\n",
        "    download_url = unquote(download_url_encoded)\n",
        "    filename = urlparse(download_url).path\n",
        "    destination_path = os.path.join(KAGGLE_INPUT_PATH, directory)\n",
        "    try:\n",
        "        with urlopen(download_url) as fileres, NamedTemporaryFile() as tfile:\n",
        "            total_length = fileres.headers['content-length']\n",
        "            print(f'Downloading {directory}, {total_length} bytes compressed')\n",
        "            dl = 0\n",
        "            data = fileres.read(CHUNK_SIZE)\n",
        "            while len(data) > 0:\n",
        "                dl += len(data)\n",
        "                tfile.write(data)\n",
        "                done = int(50 * dl / int(total_length))\n",
        "                sys.stdout.write(f\"\\r[{'=' * done}{' ' * (50-done)}] {dl} bytes downloaded\")\n",
        "                sys.stdout.flush()\n",
        "                data = fileres.read(CHUNK_SIZE)\n",
        "            if filename.endswith('.zip'):\n",
        "              with ZipFile(tfile) as zfile:\n",
        "                zfile.extractall(destination_path)\n",
        "            else:\n",
        "              with tarfile.open(tfile.name) as tarfile:\n",
        "                tarfile.extractall(destination_path)\n",
        "            print(f'\\nDownloaded and uncompressed: {directory}')\n",
        "    except HTTPError as e:\n",
        "        print(f'Failed to load (likely expired) {download_url} to path {destination_path}')\n",
        "        continue\n",
        "    except OSError as e:\n",
        "        print(f'Failed to load {download_url} to path {destination_path}')\n",
        "        continue\n",
        "\n",
        "print('Data source import complete.')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JbHjLKjKr6ic",
        "outputId": "205a1600-c795-4664-c177-8d31d8ebfc09"
      },
      "cell_type": "code",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading , 26962657 bytes compressed\n",
            "[==================================================] 26962657 bytes downloaded\n",
            "Downloaded and uncompressed: \n",
            "Data source import complete.\n"
          ]
        }
      ],
      "execution_count": 36
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Sentiment Analysis of IMDB Movie Reviews**"
      ],
      "metadata": {
        "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
        "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
        "trusted": true,
        "id": "yVCQp-6Pr6ik"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Problem Statement:**\n",
        "\n",
        "In this, we have to predict the number of positive and negative reviews based on sentiments by using different classification models."
      ],
      "metadata": {
        "id": "8TN5p7b9r6io"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Import necessary libraries**"
      ],
      "metadata": {
        "_uuid": "1424638f5259100af9f9a5c1b05bd23cf5b71e51",
        "id": "2oUmuqtdr6io"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Load the libraries\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import nltk\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.preprocessing import LabelBinarizer\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.stem.porter import PorterStemmer\n",
        "from wordcloud import WordCloud,STOPWORDS\n",
        "from nltk.stem import WordNetLemmatizer\n",
        "from nltk.tokenize import word_tokenize,sent_tokenize\n",
        "from bs4 import BeautifulSoup\n",
        "import spacy\n",
        "import re,string,unicodedata\n",
        "from nltk.tokenize.toktok import ToktokTokenizer\n",
        "from nltk.stem import LancasterStemmer,WordNetLemmatizer\n",
        "from sklearn.linear_model import LogisticRegression,SGDClassifier\n",
        "from sklearn.naive_bayes import MultinomialNB\n",
        "from sklearn.svm import SVC\n",
        "from textblob import TextBlob\n",
        "from textblob import Word\n",
        "from sklearn.metrics import classification_report,confusion_matrix,accuracy_score\n",
        "\n",
        "import os\n",
        "print(os.listdir(\"../input\"))\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n"
      ],
      "metadata": {
        "_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
        "_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XvQQarxcr6ip",
        "outputId": "349a0fc2-cf64-4547-e1e1-de0cd6765d5a"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['IMDB Dataset.csv']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Import the training dataset**"
      ],
      "metadata": {
        "_uuid": "be1b642cce343f7a8f68f8c91f7c50372cdf4381",
        "id": "cgeou3i3r6iq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#importing the training data\n",
        "imdb_data=pd.read_csv('../input/IMDB Dataset.csv')\n",
        "print(imdb_data.shape)\n",
        "imdb_data.head(10)"
      ],
      "metadata": {
        "_uuid": "4c593c17588723c0b0b0f19851cb70a8447ced76",
        "scrolled": true,
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 380
        },
        "id": "i2YIDOskr6ir",
        "outputId": "318af3bc-bef1-4c25-9602-0fad1eb3612b"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(50000, 2)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                              review sentiment\n",
              "0  One of the other reviewers has mentioned that ...  positive\n",
              "1  A wonderful little production. <br /><br />The...  positive\n",
              "2  I thought this was a wonderful way to spend ti...  positive\n",
              "3  Basically there's a family where a little boy ...  negative\n",
              "4  Petter Mattei's \"Love in the Time of Money\" is...  positive\n",
              "5  Probably my all-time favorite movie, a story o...  positive\n",
              "6  I sure would like to see a resurrection of a u...  positive\n",
              "7  This show was an amazing, fresh & innovative i...  negative\n",
              "8  Encouraged by the positive comments about this...  negative\n",
              "9  If you like original gut wrenching laughter yo...  positive"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>review</th>\n",
              "      <th>sentiment</th>\n",
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              "  </thead>\n",
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              "      <th>0</th>\n",
              "      <td>One of the other reviewers has mentioned that ...</td>\n",
              "      <td>positive</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>A wonderful little production. &lt;br /&gt;&lt;br /&gt;The...</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Basically there's a family where a little boy ...</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Petter Mattei's \"Love in the Time of Money\" is...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
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              "      <td>positive</td>\n",
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              "      <td>Encouraged by the positive comments about this...</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>If you like original gut wrenching laughter yo...</td>\n",
              "      <td>positive</td>\n",
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              "      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-c2dc2dff-4dd2-4b92-bc9b-906951f5ae4d 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": "imdb_data",
              "summary": "{\n  \"name\": \"imdb_data\",\n  \"rows\": 50000,\n  \"fields\": [\n    {\n      \"column\": \"review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 49582,\n        \"samples\": [\n          \"\\\"Soul Plane\\\" is a horrible attempt at comedy that only should appeal people with thick skulls, bloodshot eyes and furry pawns. <br /><br />The plot is not only incoherent but also non-existent, acting is mostly sub sub-par with a gang of highly moronic and dreadful characters thrown in for bad measure, jokes are often spotted miles ahead and almost never even a bit amusing. This movie lacks any structure and is full of racial stereotypes that must have seemed old even in the fifties, the only thing it really has going for it is some pretty ladies, but really, if you want that you can rent something from the \\\"Adult\\\" section. OK?<br /><br />I can hardly see anything here to recommend since you'll probably have a lot a better and productive time chasing rats with a sledgehammer or inventing waterproof teabags or whatever.<br /><br />2/10\",\n          \"Guest from the Future tells a fascinating story of time travel, friendship, battle of good and evil -- all with a small budget, child actors, and few special effects. Something for Spielberg and Lucas to learn from. ;) A sixth-grader Kolya \\\"Nick\\\" Gerasimov finds a time machine in the basement of a decrepit building and travels 100 years into the future. He discovers a near-perfect, utopian society where robots play guitars and write poetry, everyone is kind to each other and people enjoy everything technology has to offer. Alice is the daughter of a prominent scientist who invented a device called Mielophone that allows to read minds of humans and animals. The device can be put to both good and bad use, depending on whose hands it falls into. When two evil space pirates from Saturn who want to rule the universe attempt to steal Mielophone, it falls into the hands of 20th century school boy Nick. With the pirates hot on his tracks, he travels back to his time, followed by the pirates, and Alice. Chaos, confusion and funny situations follow as the luckless pirates try to blend in with the earthlings. Alice enrolls in the same school Nick goes to and demonstrates superhuman abilities in PE class. The catch is, Alice doesn't know what Nick looks like, while the pirates do. Also, the pirates are able to change their appearance and turn literally into anyone. (Hmm, I wonder if this is where James Cameron got the idea for Terminator...) Who gets to Nick -- and Mielophone -- first? Excellent plot, non-stop adventures, and great soundtrack. I wish Hollywood made kid movies like this one...\",\n          \"\\\"National Treasure\\\" (2004) is a thoroughly misguided hodge-podge of plot entanglements that borrow from nearly every cloak and dagger government conspiracy clich\\u00e9 that has ever been written. The film stars Nicholas Cage as Benjamin Franklin Gates (how precious is that, I ask you?); a seemingly normal fellow who, for no other reason than being of a lineage of like-minded misguided fortune hunters, decides to steal a 'national treasure' that has been hidden by the United States founding fathers. After a bit of subtext and background that plays laughably (unintentionally) like Indiana Jones meets The Patriot, the film degenerates into one misguided whimsy after another \\u0096 attempting to create a 'Stanley Goodspeed' regurgitation of Nicholas Cage and launch the whole convoluted mess forward with a series of high octane, but disconnected misadventures.<br /><br />The relevancy and logic to having George Washington and his motley crew of patriots burying a king's ransom someplace on native soil, and then, going through the meticulous plan of leaving clues scattered throughout U.S. currency art work, is something that director Jon Turteltaub never quite gets around to explaining. Couldn't Washington found better usage for such wealth during the start up of the country? Hence, we are left with a mystery built on top of an enigma that is already on shaky ground by the time Ben appoints himself the new custodian of this untold wealth. Ben's intentions are noble \\u0096 if confusing. He's set on protecting the treasure. For who and when?\\u0085your guess is as good as mine.<br /><br />But there are a few problems with Ben's crusade. First up, his friend, Ian Holmes (Sean Bean) decides that he can't wait for Ben to make up his mind about stealing the Declaration of Independence from the National Archives (oh, yeah \\u0096 brilliant idea!). Presumably, the back of that famous document holds the secret answer to the ultimate fortune. So Ian tries to kill Ben. The assassination attempt is, of course, unsuccessful, if overly melodramatic. It also affords Ben the opportunity to pick up, and pick on, the very sultry curator of the archives, Abigail Chase (Diane Kruger). She thinks Ben is clearly a nut \\u0096 at least at the beginning. But true to action/romance form, Abby's resolve melts quicker than you can say, \\\"is that the Hope Diamond?\\\" The film moves into full X-File-ish mode, as the FBI, mistakenly believing that Ben is behind the theft, retaliate in various benign ways that lead to a multi-layering of action sequences reminiscent of Mission Impossible meets The Fugitive. Honestly, don't those guys ever get 'intelligence' information that is correct? In the final analysis, \\\"National Treasure\\\" isn't great film making, so much as it's a patchwork rehash of tired old bits from other movies, woven together from scraps, the likes of which would make IL' Betsy Ross blush.<br /><br />The Buena Vista DVD delivers a far more generous treatment than this film is deserving of. The anamorphic widescreen picture exhibits a very smooth and finely detailed image with very rich colors, natural flesh tones, solid blacks and clean whites. The stylized image is also free of blemishes and digital enhancements. The audio is 5.1 and delivers a nice sonic boom to your side and rear speakers with intensity and realism. Extras include a host of promotional junket material that is rather deep and over the top in its explanation of how and why this film was made. If only, as an audience, we had had more clarification as to why Ben and co. were chasing after an illusive treasure, this might have been one good flick. Extras conclude with the theatrical trailer, audio commentary and deleted scenes. Not for the faint-hearted \\u0096 just the thick-headed.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"negative\",\n          \"positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Exploratery data analysis**"
      ],
      "metadata": {
        "_uuid": "1ad3773974351ed9bdf389b2847d7475b36c2295",
        "id": "6DaPnTZTr6ir"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Summary of the dataset\n",
        "imdb_data.describe()"
      ],
      "metadata": {
        "_uuid": "7f11c83b1320c8982b36889145f7f770563674a8",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "h6Zy-wUWr6is",
        "outputId": "11566af2-a0a5-476f-dd06-01ab15f19b18"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                   review sentiment\n",
              "count                                               50000     50000\n",
              "unique                                              49582         2\n",
              "top     Loved today's show!!! It was a variety and not...  positive\n",
              "freq                                                    5     25000"
            ],
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              "        document.querySelector('#df-e8964c76-4fac-4a66-b426-a08190b98302 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-e8964c76-4fac-4a66-b426-a08190b98302');\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",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
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              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
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              "    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",
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              "\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",
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              "      border-top-color: var(--fill-color);\n",
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              "      border-top-color: var(--fill-color);\n",
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              "    }\n",
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              "      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-112e4763-f735-4500-9eed-4ce31f4ab4c9 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",
              "summary": "{\n  \"name\": \"imdb_data\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          49582,\n          \"5\",\n          \"50000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          2,\n          \"25000\",\n          \"50000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Sentiment count**"
      ],
      "metadata": {
        "_uuid": "453c3fd238f62ab8f649eb01771817e25bc0c77d",
        "id": "G5be8Oqqr6it"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#sentiment count\n",
        "imdb_data['sentiment'].value_counts()"
      ],
      "metadata": {
        "_uuid": "cb6bb97b0f851947dcf341a1de5708a1f2bc64c1",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8NPjXZx7r6it",
        "outputId": "feda9c0f-e566-434e-88e9-da15f82148e2"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "positive    25000\n",
              "negative    25000\n",
              "Name: sentiment, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We can see that the dataset is balanced."
      ],
      "metadata": {
        "id": "VaAh2Cllr6iu"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Spliting the training dataset**"
      ],
      "metadata": {
        "_uuid": "f61964573faababe1f7897b77d32815a24954d2f",
        "id": "STKohWlTr6iv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#split the dataset\n",
        "#train dataset\n",
        "train_reviews=imdb_data.review[:40000]\n",
        "train_sentiments=imdb_data.sentiment[:40000]\n",
        "#test dataset\n",
        "test_reviews=imdb_data.review[40000:]\n",
        "test_sentiments=imdb_data.sentiment[40000:]\n",
        "print(train_reviews.shape,train_sentiments.shape)\n",
        "print(test_reviews.shape,test_sentiments.shape)"
      ],
      "metadata": {
        "_uuid": "d3aaabff555e07feb11c72cc3a6e457615975ffe",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NvYI1YG2r6iw",
        "outputId": "4ce5f632-9e1f-42bd-b234-dc3b1b7b0f9f"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(40000,) (40000,)\n",
            "(10000,) (10000,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Text normalization**"
      ],
      "metadata": {
        "_uuid": "90da29c3b79f46f41d7391a2a116065b616d0fac",
        "id": "ygH9u8GYr6iw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.corpus import stopwords\n",
        "\n",
        "#Tokenization of text\n",
        "tokenizer=ToktokTokenizer()\n",
        "#Setting English stopwords\n",
        "\n",
        "\n",
        "!pip install nltk\n",
        "import nltk\n",
        "nltk.download('stopwords')\n",
        "stopword_list = stopwords.words('english')"
      ],
      "metadata": {
        "_uuid": "f000c43d91f68f6668539f089c6a54c5ce3bd819",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zCCxaZv5r6ix",
        "outputId": "c34d156c-05b3-4173-c1b5-24cafdfa3734"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (3.8.1)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk) (8.1.7)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk) (1.3.2)\n",
            "Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.10/dist-packages (from nltk) (2023.12.25)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from nltk) (4.66.2)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Removing html strips and noise text**"
      ],
      "metadata": {
        "_uuid": "328b6e5977da3e055ad4b2e11a31e5e12ccf3b16",
        "id": "lQtHq6yFr6ix"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Removing the html strips\n",
        "def strip_html(text):\n",
        "    soup = BeautifulSoup(text, \"html.parser\")\n",
        "    return soup.get_text()\n",
        "\n",
        "#Removing the square brackets\n",
        "def remove_between_square_brackets(text):\n",
        "    return re.sub('\\[[^]]*\\]', '', text)\n",
        "\n",
        "#Removing the noisy text\n",
        "def denoise_text(text):\n",
        "    text = strip_html(text)\n",
        "    text = remove_between_square_brackets(text)\n",
        "    return text\n",
        "#Apply function on review column\n",
        "imdb_data['review']=imdb_data['review'].apply(denoise_text)"
      ],
      "metadata": {
        "_uuid": "6f6fcafbdadcdcb0c164e37d71fb9d1623f74d0a",
        "trusted": true,
        "id": "nX-yzjzMr6iy"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Removing special characters**"
      ],
      "metadata": {
        "_uuid": "88117b74761d1047924d6d70f76642faa0e706ac",
        "id": "zlRm4Tstr6iz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Define function for removing special characters\n",
        "def remove_special_characters(text, remove_digits=True):\n",
        "    pattern=r'[^a-zA-z0-9\\s]'\n",
        "    text=re.sub(pattern,'',text)\n",
        "    return text\n",
        "#Apply function on review column\n",
        "imdb_data['review']=imdb_data['review'].apply(remove_special_characters)"
      ],
      "metadata": {
        "_uuid": "219da72b025121fd98081df50ae0fcaace10cc9d",
        "trusted": true,
        "id": "4TftWDMlr6iz"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Text stemming\n",
        "**"
      ],
      "metadata": {
        "_uuid": "3b66eeabd5b7b8c251f8b8ddf331140a64bcd514",
        "id": "6QdAmbVir6i0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Stemming the text\n",
        "def simple_stemmer(text):\n",
        "    ps=nltk.porter.PorterStemmer()\n",
        "    text= ' '.join([ps.stem(word) for word in text.split()])\n",
        "    return text\n",
        "#Apply function on review column\n",
        "imdb_data['review']=imdb_data['review'].apply(simple_stemmer)"
      ],
      "metadata": {
        "_uuid": "2295f2946e0ab74c220ad538d0e7adc04d23f697",
        "trusted": true,
        "id": "epXvF-uNr6i0"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Removing stopwords**"
      ],
      "metadata": {
        "_uuid": "e83107e4a281d84d7ae42b4e2c8d81b7ece438e4",
        "id": "z_7T-8-zr6i1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#set stopwords to english\n",
        "stop=set(stopwords.words('english'))\n",
        "print(stop)\n",
        "\n",
        "#removing the stopwords\n",
        "def remove_stopwords(text, is_lower_case=False):\n",
        "    tokens = tokenizer.tokenize(text)\n",
        "    tokens = [token.strip() for token in tokens]\n",
        "    if is_lower_case:\n",
        "        filtered_tokens = [token for token in tokens if token not in stopword_list]\n",
        "    else:\n",
        "        filtered_tokens = [token for token in tokens if token.lower() not in stopword_list]\n",
        "    filtered_text = ' '.join(filtered_tokens)\n",
        "    return filtered_text\n",
        "#Apply function on review column\n",
        "imdb_data['review']=imdb_data['review'].apply(remove_stopwords)"
      ],
      "metadata": {
        "_uuid": "5dbff82b4d2d188d8777b273a75d8ac714d38885",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ykva2w3tr6i1",
        "outputId": "8c8f8ab0-b820-42be-cd4c-0b7282ae03f5"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'she', 'ourselves', 'didn', 'on', \"you're\", 'do', 'with', 'too', 'an', 'our', 'off', 'any', 'you', 'doing', 'into', 'had', 'i', 'above', 'is', 'when', \"you'd\", 'his', 'your', 'be', 'ma', \"hasn't\", 'been', 'down', 'whom', \"mightn't\", 'all', 'having', 'out', 'have', \"mustn't\", 'aren', 'a', 'to', 'how', 'weren', 'from', 'them', \"should've\", 'my', 'they', \"she's\", 'does', 'during', 'more', \"hadn't\", \"wasn't\", 'or', 'very', 'here', 'll', \"won't\", \"you've\", 'because', 'then', 'so', 't', 'what', 'those', \"weren't\", 'hers', 'about', 'were', 'both', 'some', \"you'll\", 'there', 'why', 'will', 'this', 'other', \"shouldn't\", \"needn't\", \"don't\", 'we', 'over', 'shouldn', 'it', 'themselves', 'shan', 'himself', 'by', 'isn', 'most', 'than', 'being', 'should', \"shan't\", 'that', 'after', 'before', 'yourselves', 'not', 'for', 'and', 'at', 'no', 'who', \"aren't\", 'mustn', 'nor', 'same', 'hasn', 'd', 'mightn', 'theirs', 're', 'herself', \"wouldn't\", \"couldn't\", 'the', 'through', 'y', 'against', 'up', 'few', 'but', 'just', \"it's\", 'wasn', 'hadn', \"doesn't\", 'if', 'their', 'only', 'its', 'itself', 'now', \"haven't\", 'while', 'as', 'until', 'yours', 'o', 'further', \"that'll\", 'are', 'own', 'couldn', 'yourself', 'her', 'wouldn', 'needn', 'where', 'doesn', 'of', 'in', 'which', 'each', 'm', 'once', 'these', 'he', 's', 'am', 'won', 'ours', 'myself', 'can', \"isn't\", 'such', 'don', 'did', 've', 'was', 'between', 'again', 'him', 'under', 'has', 'ain', 'below', \"didn't\", 'haven', 'me'}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Normalized train reviews**"
      ],
      "metadata": {
        "_uuid": "b35e7499291173119ed42287deac6f0cd96516e1",
        "id": "CBYgm9npr6i2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#normalized train reviews\n",
        "norm_train_reviews=imdb_data.review[:40000]\n",
        "norm_train_reviews[0]\n",
        "#convert dataframe to string\n",
        "#norm_train_string=norm_train_reviews.to_string()\n",
        "#Spelling correction using Textblob\n",
        "#norm_train_spelling=TextBlob(norm_train_string)\n",
        "#norm_train_spelling.correct()\n",
        "#Tokenization using Textblob\n",
        "#norm_train_words=norm_train_spelling.words\n",
        "#norm_train_words"
      ],
      "metadata": {
        "_uuid": "b20c242bd091929ca896ea2c6e936ca00efe6ecf",
        "_kg_hide-output": true,
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 227
        },
        "id": "GwkEhLaqr6i2",
        "outputId": "b44bfe1e-a3ba-43c8-bfb3-292033101b80"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'one review ha mention watch 1 oz episod youll hook right thi exactli happen meth first thing struck oz wa brutal unflinch scene violenc set right word go trust thi show faint heart timid thi show pull punch regard drug sex violenc hardcor classic use wordit call oz nicknam given oswald maximum secur state penitentari focus mainli emerald citi experiment section prison cell glass front face inward privaci high agenda em citi home manyaryan muslim gangsta latino christian italian irish moreso scuffl death stare dodgi deal shadi agreement never far awayi would say main appeal show due fact goe show wouldnt dare forget pretti pictur paint mainstream audienc forget charm forget romanceoz doesnt mess around first episod ever saw struck nasti wa surreal couldnt say wa readi watch develop tast oz got accustom high level graphic violenc violenc injustic crook guard wholl sold nickel inmat wholl kill order get away well manner middl class inmat turn prison bitch due lack street skill prison experi watch oz may becom comfort uncomfort viewingthat get touch darker side'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Normalized test reviews**"
      ],
      "metadata": {
        "_uuid": "d69462bb209a66cff86376dc8481d0c0140d894d",
        "id": "QMhbY9D-r6i3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Normalized test reviews\n",
        "norm_test_reviews=imdb_data.review[40000:]\n",
        "norm_test_reviews[45005]\n",
        "##convert dataframe to string\n",
        "#norm_test_string=norm_test_reviews.to_string()\n",
        "#spelling correction using Textblob\n",
        "#norm_test_spelling=TextBlob(norm_test_string)\n",
        "#print(norm_test_spelling.correct())\n",
        "#Tokenization using Textblob\n",
        "#norm_test_words=norm_test_spelling.words\n",
        "#norm_test_words"
      ],
      "metadata": {
        "_uuid": "c5d0d38bd9976150367e9d75f3b933774c96a1ab",
        "_kg_hide-output": true,
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 227
        },
        "id": "KGuK5Havr6i3",
        "outputId": "c3476b78-66a7-4e95-9d1c-3235f7a40373"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'read review watch thi piec cinemat garbag took least 2 page find somebodi els didnt think thi appallingli unfunni montag wasnt acm humour 70 inde ani era thi isnt least funni set sketch comedi ive ever seen itll till come along half skit alreadi done infinit better act monti python woodi allen wa say nice piec anim last 90 second highlight thi film would still get close sum mindless drivelridden thi wast 75 minut semin comedi onli world semin realli doe mean semen scatolog humour onli world scat actual fece precursor joke onli mean thi handbook comedi tit bum odd beaver niceif pubesc boy least one hand free havent found playboy exist give break becaus wa earli 70 way sketch comedi go back least ten year prior onli way could even forgiv thi film even made wa gunpoint retro hardli sketch clown subtli pervert children may cut edg circl could actual funni come realli quit sad kept go throughout entir 75 minut sheer belief may save genuin funni skit end gave film 1 becaus wa lower scoreand onli recommend insomniac coma patientsor perhap peopl suffer lockjawtheir jaw would final drop open disbelief'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Bags of words model **\n",
        "\n",
        "It is used to convert text documents to numerical vectors or bag of words."
      ],
      "metadata": {
        "_uuid": "1c2a872ffcb6b8076fdbbba641af12081b6022ef",
        "id": "GXDpEFkEr6i4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Count vectorizer for bag of words\n",
        "cv=CountVectorizer(min_df=0,max_df=1,binary=False,ngram_range=(1,3))\n",
        "#transformed train reviews\n",
        "cv_train_reviews=cv.fit_transform(norm_train_reviews)\n",
        "#transformed test reviews\n",
        "cv_test_reviews=cv.transform(norm_test_reviews)\n",
        "\n",
        "print('BOW_cv_train:',cv_train_reviews.shape)\n",
        "print('BOW_cv_test:',cv_test_reviews.shape)\n",
        "#vocab=cv.get_feature_names()-toget feature names"
      ],
      "metadata": {
        "_uuid": "35cf9dcefb40b2dc520c5b0d559695324c46cc04",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Wk6rO1mdr6i4",
        "outputId": "4c816c77-d1c0-4e86-8de1-2dad2a39c5ea"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "BOW_cv_train: (40000, 6209089)\n",
            "BOW_cv_test: (10000, 6209089)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Term Frequency-Inverse Document Frequency model (TFIDF)**\n",
        "\n",
        "It is used to convert text documents to  matrix of  tfidf features."
      ],
      "metadata": {
        "_uuid": "52371868f05ff9cf157280c5acf0f5bc71ee176d",
        "id": "GNA88rbQr6i5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Tfidf vectorizer\n",
        "tv=TfidfVectorizer(min_df=0,max_df=1,use_idf=True,ngram_range=(1,3))\n",
        "#transformed train reviews\n",
        "tv_train_reviews=tv.fit_transform(norm_train_reviews)\n",
        "#transformed test reviews\n",
        "tv_test_reviews=tv.transform(norm_test_reviews)\n",
        "print('Tfidf_train:',tv_train_reviews.shape)\n",
        "print('Tfidf_test:',tv_test_reviews.shape)"
      ],
      "metadata": {
        "_uuid": "afe6de957339921e05a6faeaf731f2272fd31946",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ds0ZyBrzr6i5",
        "outputId": "0d8a466c-faaf-492d-a258-30a49778a07e"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Tfidf_train: (40000, 6209089)\n",
            "Tfidf_test: (10000, 6209089)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Labeling the sentiment text**"
      ],
      "metadata": {
        "_uuid": "803e92b25faa738b10928a91de72d177d8dddf85",
        "id": "qu6RcSqtr6i6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#labeling the sentient data\n",
        "lb=LabelBinarizer()\n",
        "#transformed sentiment data\n",
        "sentiment_data=lb.fit_transform(imdb_data['sentiment'])\n",
        "print(sentiment_data.shape)"
      ],
      "metadata": {
        "_uuid": "60f5d496ce4109d1cdbf08f4284d4d26efd93922",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WipWR5bLr6i6",
        "outputId": "abdd3163-308c-4a52-99dd-711bf97ad88b"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(50000, 1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Split the sentiment tdata**"
      ],
      "metadata": {
        "_uuid": "21a80c94fb42e14391c627710c5d796c40aa7dde",
        "id": "30_tIAWRr6i7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Spliting the sentiment data\n",
        "train_sentiments=sentiment_data[:40000]\n",
        "test_sentiments=sentiment_data[40000:]\n",
        "print(train_sentiments)\n",
        "print(test_sentiments)"
      ],
      "metadata": {
        "_uuid": "ca1e4cc917265ac98a72c37cffe57f27e9897408",
        "_kg_hide-output": true,
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cBtCmIqWr6i7",
        "outputId": "572bd4a7-5465-4518-c761-637ca41123c6"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1]\n",
            " [1]\n",
            " [1]\n",
            " ...\n",
            " [1]\n",
            " [0]\n",
            " [0]]\n",
            "[[0]\n",
            " [0]\n",
            " [0]\n",
            " ...\n",
            " [0]\n",
            " [0]\n",
            " [0]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Modelling the dataset**"
      ],
      "metadata": {
        "id": "86YZ-tDjr6i8"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let us build logistic regression model for both bag of words and tfidf features"
      ],
      "metadata": {
        "_uuid": "d5e45fdc9d062a5b9b9dd665ffe732776e196953",
        "id": "CAaBS-1Hr6i8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#training the model\n",
        "lr=LogisticRegression(penalty='l2',max_iter=500,C=1,random_state=42)\n",
        "#Fitting the model for Bag of words\n",
        "lr_bow=lr.fit(cv_train_reviews,train_sentiments)\n",
        "print(lr_bow)\n",
        "#Fitting the model for tfidf features\n",
        "lr_tfidf=lr.fit(tv_train_reviews,train_sentiments)\n",
        "print(lr_tfidf)"
      ],
      "metadata": {
        "_uuid": "142d007421900550079a12ae8655bcae678ebaad",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FuycflK8r6i9",
        "outputId": "eef8b89e-8574-4a1d-cce8-0d488eb7afc1"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "LogisticRegression(C=1, max_iter=500, random_state=42)\n",
            "LogisticRegression(C=1, max_iter=500, random_state=42)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Logistic regression model performane on test dataset**"
      ],
      "metadata": {
        "_uuid": "07eb6d52eb32469e3be82e90af636d598a7b7c27",
        "id": "KHAn3flTr6jN"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "aw_yFgi5vIm-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Predicting the model for bag of words\n",
        "lr_bow_predict=lr.predict(cv_test_reviews)\n",
        "print(lr_bow_predict)\n",
        "##Predicting the model for tfidf features\n",
        "lr_tfidf_predict=lr.predict(tv_test_reviews)\n",
        "print(lr_tfidf_predict)"
      ],
      "metadata": {
        "_uuid": "52ad86935b76117f97b79e6672a3ba12352b9461",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-W0Bnfqir6jN",
        "outputId": "0cdeea19-bc77-46f6-c4ed-e6044ca1615d"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0 0 0 ... 0 1 1]\n",
            "[0 0 0 ... 0 1 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Accuracy of the model**"
      ],
      "metadata": {
        "id": "6zlsqC4pr6jO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Accuracy score for bag of words\n",
        "lr_bow_score=accuracy_score(test_sentiments,lr_bow_predict)\n",
        "print(\"lr_bow_score :\",lr_bow_score)\n",
        "#Accuracy score for tfidf features\n",
        "lr_tfidf_score=accuracy_score(test_sentiments,lr_tfidf_predict)\n",
        "print(\"lr_tfidf_score :\",lr_tfidf_score)"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UuS9HOD_r6jO",
        "outputId": "ad807b8b-a11e-441e-8ad4-e4e8260ce3b9"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "lr_bow_score : 0.7512\n",
            "lr_tfidf_score : 0.75\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Print the classification report**"
      ],
      "metadata": {
        "_uuid": "ac2ec8353acb5e0f548e1e4a590fbe6f34f4a686",
        "id": "e20ml0fDr6jP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Classification report for bag of words\n",
        "lr_bow_report=classification_report(test_sentiments,lr_bow_predict,target_names=['Positive','Negative'])\n",
        "print(lr_bow_report)\n",
        "\n",
        "#Classification report for tfidf features\n",
        "lr_tfidf_report=classification_report(test_sentiments,lr_tfidf_predict,target_names=['Positive','Negative'])\n",
        "print(lr_tfidf_report)"
      ],
      "metadata": {
        "_uuid": "f89c7e7a6136d08790ffbf6bc4d0d05455f8555a",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QjgLV0Nqr6jP",
        "outputId": "733da19d-de23-43ce-c81c-0685b0af2e22"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Positive       0.75      0.75      0.75      4993\n",
            "    Negative       0.75      0.75      0.75      5007\n",
            "\n",
            "    accuracy                           0.75     10000\n",
            "   macro avg       0.75      0.75      0.75     10000\n",
            "weighted avg       0.75      0.75      0.75     10000\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Positive       0.74      0.77      0.75      4993\n",
            "    Negative       0.76      0.73      0.75      5007\n",
            "\n",
            "    accuracy                           0.75     10000\n",
            "   macro avg       0.75      0.75      0.75     10000\n",
            "weighted avg       0.75      0.75      0.75     10000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Confusion matrix**"
      ],
      "metadata": {
        "_uuid": "0d2e5ddcd69ff0fb52f05f17fc74a86e1b5e5b61",
        "id": "d8MXFvkZr6jP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#confusion matrix for bag of words\n",
        "cm_bow=confusion_matrix(test_sentiments,lr_bow_predict,labels=[1,0])\n",
        "print(cm_bow)\n",
        "#confusion matrix for tfidf features\n",
        "cm_tfidf=confusion_matrix(test_sentiments,lr_tfidf_predict,labels=[1,0])\n",
        "print(cm_tfidf)"
      ],
      "metadata": {
        "_uuid": "a36c058e834938559b7202f2142e61423a613b7a",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z4xMw-0wr6jQ",
        "outputId": "2f2d95f2-672e-48de-dde8-ecb6ad5eac56"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[3768 1239]\n",
            " [1249 3744]]\n",
            "[[3663 1344]\n",
            " [1156 3837]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Stochastic gradient descent or Linear support vector machines for bag of words and tfidf features**"
      ],
      "metadata": {
        "_uuid": "8fde9753386e3593dc27c4e88e02bdc38462a018",
        "id": "s4J38_b2r6jQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#training the linear svm\n",
        "svm=SGDClassifier(loss='hinge',max_iter=500,random_state=42)\n",
        "#fitting the svm for bag of words\n",
        "svm_bow=svm.fit(cv_train_reviews,train_sentiments)\n",
        "print(svm_bow)\n",
        "#fitting the svm for tfidf features\n",
        "svm_tfidf=svm.fit(tv_train_reviews,train_sentiments)\n",
        "print(svm_tfidf)"
      ],
      "metadata": {
        "_uuid": "2211a9e97682195a0372b33e4da7267aad8548db",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pKSwUSOXr6jQ",
        "outputId": "644ac115-5854-462d-f4d8-3226bb1fc72c"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "SGDClassifier(max_iter=500, random_state=42)\n",
            "SGDClassifier(max_iter=500, random_state=42)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Model performance on test data**"
      ],
      "metadata": {
        "_uuid": "e9a7a973591c1d3cabaa1a47c57fa029d3752bab",
        "id": "YIkynEtLr6jR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Predicting the model for bag of words\n",
        "svm_bow_predict=svm.predict(cv_test_reviews)\n",
        "print(svm_bow_predict)\n",
        "#Predicting the model for tfidf features\n",
        "svm_tfidf_predict=svm.predict(tv_test_reviews)\n",
        "print(svm_tfidf_predict)"
      ],
      "metadata": {
        "_uuid": "1a5ab738e04f0f9082c8d6ade6c2148cc398f8f3",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SIfXwa0Zr6jR",
        "outputId": "afdf581c-8418-4719-b0cb-7e856892f8e0"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1 1 0 ... 1 1 1]\n",
            "[1 1 1 ... 1 1 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Accuracy of the model**"
      ],
      "metadata": {
        "id": "yzx2DKF2r6jS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Accuracy score for bag of words\n",
        "svm_bow_score=accuracy_score(test_sentiments,svm_bow_predict)\n",
        "print(\"svm_bow_score :\",svm_bow_score)\n",
        "#Accuracy score for tfidf features\n",
        "svm_tfidf_score=accuracy_score(test_sentiments,svm_tfidf_predict)\n",
        "print(\"svm_tfidf_score :\",svm_tfidf_score)"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XWN9Fjlhr6jS",
        "outputId": "d70f2208-ec06-4aa3-c78e-5d5a7f210cbe"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "svm_bow_score : 0.5829\n",
            "svm_tfidf_score : 0.5112\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Print the classification report**"
      ],
      "metadata": {
        "_uuid": "b1bd245f50902ad87ca28e48cbce64ec6a16ec5a",
        "id": "saL0oWvrr6jT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Classification report for bag of words\n",
        "svm_bow_report=classification_report(test_sentiments,svm_bow_predict,target_names=['Positive','Negative'])\n",
        "print(svm_bow_report)\n",
        "#Classification report for tfidf features\n",
        "svm_tfidf_report=classification_report(test_sentiments,svm_tfidf_predict,target_names=['Positive','Negative'])\n",
        "print(svm_tfidf_report)"
      ],
      "metadata": {
        "_uuid": "d112bc5b4944330b567e19a7e04544a9a459f238",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8sSQUTx4r6jT",
        "outputId": "3a77ac2b-a6f3-4a1d-8c73-a3ee0004da05"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Positive       0.94      0.18      0.30      4993\n",
            "    Negative       0.55      0.99      0.70      5007\n",
            "\n",
            "    accuracy                           0.58     10000\n",
            "   macro avg       0.74      0.58      0.50     10000\n",
            "weighted avg       0.74      0.58      0.50     10000\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Positive       1.00      0.02      0.04      4993\n",
            "    Negative       0.51      1.00      0.67      5007\n",
            "\n",
            "    accuracy                           0.51     10000\n",
            "   macro avg       0.75      0.51      0.36     10000\n",
            "weighted avg       0.75      0.51      0.36     10000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Plot the confusion matrix**"
      ],
      "metadata": {
        "_uuid": "705fd8ae8bb5e6925852fffc906b6ffd769dbac0",
        "id": "-mfXD7l9r6jT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#confusion matrix for bag of words\n",
        "cm_bow=confusion_matrix(test_sentiments,svm_bow_predict,labels=[1,0])\n",
        "print(cm_bow)\n",
        "#confusion matrix for tfidf features\n",
        "cm_tfidf=confusion_matrix(test_sentiments,svm_tfidf_predict,labels=[1,0])\n",
        "print(cm_tfidf)"
      ],
      "metadata": {
        "_uuid": "49cde912705acbaef90d7a269cd27ea8a2815f03",
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0gt0BG7vr6jU",
        "outputId": "bc178c01-33b4-41e2-c793-901b88f71dee"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[4948   59]\n",
            " [4112  881]]\n",
            "[[5007    0]\n",
            " [4888  105]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Multinomial Naive Bayes for bag of words and tfidf features**"
      ],
      "metadata": {
        "id": "h443OQFFr6jU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#training the model\n",
        "mnb=MultinomialNB()\n",
        "#fitting the svm for bag of words\n",
        "mnb_bow=mnb.fit(cv_train_reviews,train_sentiments)\n",
        "print(mnb_bow)\n",
        "#fitting the svm for tfidf features\n",
        "mnb_tfidf=mnb.fit(tv_train_reviews,train_sentiments)\n",
        "print(mnb_tfidf)"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6_rtfnG7r6jV",
        "outputId": "cf492ec8-9e71-4650-bc6e-01d9d62e2947"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "MultinomialNB()\n",
            "MultinomialNB()\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Model performance on test data**"
      ],
      "metadata": {
        "id": "qpkTHd_Er6jV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Predicting the model for bag of words\n",
        "mnb_bow_predict=mnb.predict(cv_test_reviews)\n",
        "print(mnb_bow_predict)\n",
        "#Predicting the model for tfidf features\n",
        "mnb_tfidf_predict=mnb.predict(tv_test_reviews)\n",
        "print(mnb_tfidf_predict)"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d1y96_5br6jV",
        "outputId": "3d45e19c-48d2-40ed-ef8f-0fb9a46166a0"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0 0 0 ... 0 1 1]\n",
            "[0 0 0 ... 0 1 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Accuracy of the model**"
      ],
      "metadata": {
        "id": "I31hBVc1r6jW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Accuracy score for bag of words\n",
        "mnb_bow_score=accuracy_score(test_sentiments,mnb_bow_predict)\n",
        "print(\"mnb_bow_score :\",mnb_bow_score)\n",
        "#Accuracy score for tfidf features\n",
        "mnb_tfidf_score=accuracy_score(test_sentiments,mnb_tfidf_predict)\n",
        "print(\"mnb_tfidf_score :\",mnb_tfidf_score)"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y5ZBi57Pr6jW",
        "outputId": "912a24b1-9fe7-411e-8059-c445d8efdd18"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "mnb_bow_score : 0.751\n",
            "mnb_tfidf_score : 0.7509\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Print the classification report**"
      ],
      "metadata": {
        "id": "SUnmwsMpr6jW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Classification report for bag of words\n",
        "mnb_bow_report=classification_report(test_sentiments,mnb_bow_predict,target_names=['Positive','Negative'])\n",
        "print(mnb_bow_report)\n",
        "#Classification report for tfidf features\n",
        "mnb_tfidf_report=classification_report(test_sentiments,mnb_tfidf_predict,target_names=['Positive','Negative'])\n",
        "print(mnb_tfidf_report)"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NJwdp5fUr6jW",
        "outputId": "2653c657-0ab8-4dee-f02f-75a41137af49"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Positive       0.75      0.76      0.75      4993\n",
            "    Negative       0.75      0.75      0.75      5007\n",
            "\n",
            "    accuracy                           0.75     10000\n",
            "   macro avg       0.75      0.75      0.75     10000\n",
            "weighted avg       0.75      0.75      0.75     10000\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Positive       0.75      0.76      0.75      4993\n",
            "    Negative       0.75      0.74      0.75      5007\n",
            "\n",
            "    accuracy                           0.75     10000\n",
            "   macro avg       0.75      0.75      0.75     10000\n",
            "weighted avg       0.75      0.75      0.75     10000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Plot the confusion matrix**"
      ],
      "metadata": {
        "id": "WM6dy2M8r6jX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#confusion matrix for bag of words\n",
        "cm_bow=confusion_matrix(test_sentiments,mnb_bow_predict,labels=[1,0])\n",
        "print(cm_bow)\n",
        "#confusion matrix for tfidf features\n",
        "cm_tfidf=confusion_matrix(test_sentiments,mnb_tfidf_predict,labels=[1,0])\n",
        "print(cm_tfidf)"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E29Wb2kgr6jX",
        "outputId": "83a638d2-2f60-400b-b5b0-12badee54036"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[3736 1271]\n",
            " [1219 3774]]\n",
            "[[3729 1278]\n",
            " [1213 3780]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Let us see positive and negative words by using WordCloud.**"
      ],
      "metadata": {
        "id": "AOwtLJ6zr6jX"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Word cloud for positive review words**"
      ],
      "metadata": {
        "id": "eqqan9d-r6jY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#word cloud for positive review words\n",
        "plt.figure(figsize=(10,10))\n",
        "positive_text=norm_train_reviews[1]\n",
        "WC=WordCloud(width=1000,height=500,max_words=500,min_font_size=5)\n",
        "positive_words=WC.generate(positive_text)\n",
        "plt.imshow(positive_words,interpolation='bilinear')\n",
        "plt.show"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 937
        },
        "id": "xpniL4hor6jY",
        "outputId": "e441c2fe-dabf-4ce2-b94e-39f886eb8436"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<function matplotlib.pyplot.show(close=None, block=None)>"
            ],
            "text/html": [
              "<div style=\"max-width:800px; border: 1px solid var(--colab-border-color);\"><style>\n",
              "      pre.function-repr-contents {\n",
              "        overflow-x: auto;\n",
              "        padding: 8px 12px;\n",
              "        max-height: 500px;\n",
              "      }\n",
              "\n",
              "      pre.function-repr-contents.function-repr-contents-collapsed {\n",
              "        cursor: pointer;\n",
              "        max-height: 100px;\n",
              "      }\n",
              "    </style>\n",
              "    <pre style=\"white-space: initial; background:\n",
              "         var(--colab-secondary-surface-color); padding: 8px 12px;\n",
              "         border-bottom: 1px solid var(--colab-border-color);\"><b>matplotlib.pyplot.show</b><br/>def show(*args, **kwargs)</pre><pre class=\"function-repr-contents function-repr-contents-collapsed\" style=\"\"><a class=\"filepath\" style=\"display:none\" href=\"#\">/usr/local/lib/python3.10/dist-packages/matplotlib/pyplot.py</a>Display all open figures.\n",
              "\n",
              "Parameters\n",
              "----------\n",
              "block : bool, optional\n",
              "    Whether to wait for all figures to be closed before returning.\n",
              "\n",
              "    If `True` block and run the GUI main loop until all figure windows\n",
              "    are closed.\n",
              "\n",
              "    If `False` ensure that all figure windows are displayed and return\n",
              "    immediately.  In this case, you are responsible for ensuring\n",
              "    that the event loop is running to have responsive figures.\n",
              "\n",
              "    Defaults to True in non-interactive mode and to False in interactive\n",
              "    mode (see `.pyplot.isinteractive`).\n",
              "\n",
              "See Also\n",
              "--------\n",
              "ion : Enable interactive mode, which shows / updates the figure after\n",
              "      every plotting command, so that calling ``show()`` is not necessary.\n",
              "ioff : Disable interactive mode.\n",
              "savefig : Save the figure to an image file instead of showing it on screen.\n",
              "\n",
              "Notes\n",
              "-----\n",
              "**Saving figures to file and showing a window at the same time**\n",
              "\n",
              "If you want an image file as well as a user interface window, use\n",
              "`.pyplot.savefig` before `.pyplot.show`. At the end of (a blocking)\n",
              "``show()`` the figure is closed and thus unregistered from pyplot. Calling\n",
              "`.pyplot.savefig` afterwards would save a new and thus empty figure. This\n",
              "limitation of command order does not apply if the show is non-blocking or\n",
              "if you keep a reference to the figure and use `.Figure.savefig`.\n",
              "\n",
              "**Auto-show in jupyter notebooks**\n",
              "\n",
              "The jupyter backends (activated via ``%matplotlib inline``,\n",
              "``%matplotlib notebook``, or ``%matplotlib widget``), call ``show()`` at\n",
              "the end of every cell by default. Thus, you usually don&#x27;t have to call it\n",
              "explicitly there.</pre>\n",
              "      <script>\n",
              "      if (google.colab.kernel.accessAllowed && google.colab.files && google.colab.files.view) {\n",
              "        for (const element of document.querySelectorAll('.filepath')) {\n",
              "          element.style.display = 'block'\n",
              "          element.onclick = (event) => {\n",
              "            event.preventDefault();\n",
              "            event.stopPropagation();\n",
              "            google.colab.files.view(element.textContent, 401);\n",
              "          };\n",
              "        }\n",
              "      }\n",
              "      for (const element of document.querySelectorAll('.function-repr-contents')) {\n",
              "        element.onclick = (event) => {\n",
              "          event.preventDefault();\n",
              "          event.stopPropagation();\n",
              "          element.classList.toggle('function-repr-contents-collapsed');\n",
              "        };\n",
              "      }\n",
              "      </script>\n",
              "      </div>"
            ]
          },
          "metadata": {},
          "execution_count": 34
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Word cloud for negative review words**"
      ],
      "metadata": {
        "id": "YxCG37Wkr6jY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Word cloud for negative review words\n",
        "plt.figure(figsize=(10,10))\n",
        "negative_text=norm_train_reviews[8]\n",
        "WC=WordCloud(width=1000,height=500,max_words=500,min_font_size=5)\n",
        "negative_words=WC.generate(negative_text)\n",
        "plt.imshow(negative_words,interpolation='bilinear')\n",
        "plt.show"
      ],
      "metadata": {
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 937
        },
        "id": "sKCgP4aGr6jZ",
        "outputId": "8ffa4573-f3da-4e00-adfc-7feede9d440a"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<function matplotlib.pyplot.show(close=None, block=None)>"
            ],
            "text/html": [
              "<div style=\"max-width:800px; border: 1px solid var(--colab-border-color);\"><style>\n",
              "      pre.function-repr-contents {\n",
              "        overflow-x: auto;\n",
              "        padding: 8px 12px;\n",
              "        max-height: 500px;\n",
              "      }\n",
              "\n",
              "      pre.function-repr-contents.function-repr-contents-collapsed {\n",
              "        cursor: pointer;\n",
              "        max-height: 100px;\n",
              "      }\n",
              "    </style>\n",
              "    <pre style=\"white-space: initial; background:\n",
              "         var(--colab-secondary-surface-color); padding: 8px 12px;\n",
              "         border-bottom: 1px solid var(--colab-border-color);\"><b>matplotlib.pyplot.show</b><br/>def show(*args, **kwargs)</pre><pre class=\"function-repr-contents function-repr-contents-collapsed\" style=\"\"><a class=\"filepath\" style=\"display:none\" href=\"#\">/usr/local/lib/python3.10/dist-packages/matplotlib/pyplot.py</a>Display all open figures.\n",
              "\n",
              "Parameters\n",
              "----------\n",
              "block : bool, optional\n",
              "    Whether to wait for all figures to be closed before returning.\n",
              "\n",
              "    If `True` block and run the GUI main loop until all figure windows\n",
              "    are closed.\n",
              "\n",
              "    If `False` ensure that all figure windows are displayed and return\n",
              "    immediately.  In this case, you are responsible for ensuring\n",
              "    that the event loop is running to have responsive figures.\n",
              "\n",
              "    Defaults to True in non-interactive mode and to False in interactive\n",
              "    mode (see `.pyplot.isinteractive`).\n",
              "\n",
              "See Also\n",
              "--------\n",
              "ion : Enable interactive mode, which shows / updates the figure after\n",
              "      every plotting command, so that calling ``show()`` is not necessary.\n",
              "ioff : Disable interactive mode.\n",
              "savefig : Save the figure to an image file instead of showing it on screen.\n",
              "\n",
              "Notes\n",
              "-----\n",
              "**Saving figures to file and showing a window at the same time**\n",
              "\n",
              "If you want an image file as well as a user interface window, use\n",
              "`.pyplot.savefig` before `.pyplot.show`. At the end of (a blocking)\n",
              "``show()`` the figure is closed and thus unregistered from pyplot. Calling\n",
              "`.pyplot.savefig` afterwards would save a new and thus empty figure. This\n",
              "limitation of command order does not apply if the show is non-blocking or\n",
              "if you keep a reference to the figure and use `.Figure.savefig`.\n",
              "\n",
              "**Auto-show in jupyter notebooks**\n",
              "\n",
              "The jupyter backends (activated via ``%matplotlib inline``,\n",
              "``%matplotlib notebook``, or ``%matplotlib widget``), call ``show()`` at\n",
              "the end of every cell by default. Thus, you usually don&#x27;t have to call it\n",
              "explicitly there.</pre>\n",
              "      <script>\n",
              "      if (google.colab.kernel.accessAllowed && google.colab.files && google.colab.files.view) {\n",
              "        for (const element of document.querySelectorAll('.filepath')) {\n",
              "          element.style.display = 'block'\n",
              "          element.onclick = (event) => {\n",
              "            event.preventDefault();\n",
              "            event.stopPropagation();\n",
              "            google.colab.files.view(element.textContent, 401);\n",
              "          };\n",
              "        }\n",
              "      }\n",
              "      for (const element of document.querySelectorAll('.function-repr-contents')) {\n",
              "        element.onclick = (event) => {\n",
              "          event.preventDefault();\n",
              "          event.stopPropagation();\n",
              "          element.classList.toggle('function-repr-contents-collapsed');\n",
              "        };\n",
              "      }\n",
              "      </script>\n",
              "      </div>"
            ]
          },
          "metadata": {},
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Conclusion:**\n",
        "* We can observed that both logistic regression and multinomial naive bayes model performing well compared to linear support vector  machines.\n",
        "* Still we can improve the accuracy of the models by preprocessing data and by using lexicon models like Textblob."
      ],
      "metadata": {
        "id": "nHmUNvOor6jZ"
      }
    }
  ]
}