Support vector machine topic labelling.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8d023135",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import random\n",
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer, TfidfVectorizer  # Add TfidfVectorizer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
    "from nltk.stem import PorterStemmer\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "# Step 1: Data Cleaning and Preprocessing\n",
    "\n",
    "def clean_text(text):\n",
    "    # Remove repeated words\n",
    "    text = re.sub(r'\\b(\\w+)(\\s+\\1)+\\b', r'\\1', text)\n",
    "    # Remove punctuation, numbers, and special characters\n",
    "    text = re.sub(r'[^\\w\\s]', '', text)\n",
    "    text = re.sub(r'\\d+', '', text)\n",
    "    # Convert text to lowercase\n",
    "    text = text.lower()\n",
    "    # Remove past tense\n",
    "    ps = PorterStemmer()\n",
    "    tokens = word_tokenize(text)\n",
    "    tokens = [ps.stem(token) for token in tokens]\n",
    "    text = ' '.join(tokens)\n",
    "    return text\n",
    "\n",
    "def load_dataset(root_folder):\n",
    "    data = []\n",
    "    labels = []\n",
    "    topics = ['accounts', 'biology', 'geography', 'history', 'maths', 'physics', 'software']\n",
    "    for topic in topics:\n",
    "        folder_path = os.path.join(root_folder, topic)\n",
    "        files = os.listdir(folder_path)\n",
    "        for file in files:\n",
    "            file_path = os.path.join(folder_path, file)\n",
    "            with open(file_path, 'r', encoding='utf-8') as f:  # Specify the encoding\n",
    "                text = f.read()\n",
    "                cleaned_text = clean_text(text)\n",
    "                data.append(cleaned_text)\n",
    "                labels.append(topic)\n",
    "    return data, labels\n",
    "\n",
    "root_folder = \"C:/Users/samue/Downloads/data_assessment_2/data_for_topic_labelling\"\n",
    "data, labels = load_dataset(root_folder)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "edbe3acf",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classifier 1:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "    accounts       1.00      0.98      0.99        57\n",
      "     biology       0.96      0.99      0.98       127\n",
      "   geography       1.00      0.75      0.86        20\n",
      "     history       1.00      0.95      0.97       100\n",
      "       maths       1.00      1.00      1.00        43\n",
      "     physics       0.98      0.99      0.99       154\n",
      "    software       0.96      1.00      0.98       128\n",
      "\n",
      "    accuracy                           0.98       629\n",
      "   macro avg       0.99      0.95      0.97       629\n",
      "weighted avg       0.98      0.98      0.98       629\n",
      "\n",
      "Classifier 2:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "    accounts       1.00      0.98      0.99        57\n",
      "     biology       0.96      0.99      0.98       127\n",
      "   geography       1.00      0.75      0.86        20\n",
      "     history       1.00      0.95      0.97       100\n",
      "       maths       1.00      1.00      1.00        43\n",
      "     physics       0.98      0.99      0.99       154\n",
      "    software       0.96      1.00      0.98       128\n",
      "\n",
      "    accuracy                           0.98       629\n",
      "   macro avg       0.99      0.95      0.97       629\n",
      "weighted avg       0.98      0.98      0.98       629\n",
      "\n",
      "Confusion Matrix - Classifier 1:\n",
      "[[ 56   1   0   0   0   0   0]\n",
      " [  0 126   0   0   0   1   0]\n",
      " [  0   3  15   0   0   2   0]\n",
      " [  0   1   0  95   0   0   4]\n",
      " [  0   0   0   0  43   0   0]\n",
      " [  0   0   0   0   0 153   1]\n",
      " [  0   0   0   0   0   0 128]]\n",
      "Confusion Matrix - Classifier 2:\n",
      "[[ 56   1   0   0   0   0   0]\n",
      " [  0 126   0   0   0   1   0]\n",
      " [  0   3  15   0   0   2   0]\n",
      " [  0   1   0  95   0   0   4]\n",
      " [  0   0   0   0  43   0   0]\n",
      " [  0   0   0   0   0 153   1]\n",
      " [  0   0   0   0   0   0 128]]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Step 2: Splitting the Dataset\n",
    "train_data, test_data, train_labels, test_labels = train_test_split(data, labels, \n",
    "                                                                    test_size=0.2, stratify=labels, random_state=42)\n",
    "\n",
    "# Step 3: Topic Modeling and Classification\n",
    "# Version 1: Bag-of-Words (CountVectorizer) + SVM\n",
    "classifier_1 = Pipeline([\n",
    "    ('vectorizer', CountVectorizer()),\n",
    "    ('tfidf', TfidfTransformer()),\n",
    "    ('classifier', SVC(kernel='linear'))\n",
    "])\n",
    "\n",
    "# Version 2: TF-IDF (TfidfVectorizer) + SVM\n",
    "classifier_2 = Pipeline([\n",
    "    ('vectorizer', TfidfVectorizer()),\n",
    "    ('classifier', SVC(kernel='linear'))\n",
    "])\n",
    "\n",
    "# Fit the classifiers on the training data\n",
    "classifier_1.fit(train_data, train_labels)\n",
    "classifier_2.fit(train_data, train_labels)\n",
    "# Evaluate the classifiers on the testing data\n",
    "pred_labels_1 = classifier_1.predict(test_data)\n",
    "pred_labels_2 = classifier_2.predict(test_data)\n",
    "\n",
    "# Step 4: Performance Evaluation\n",
    "# Define the topics list\n",
    "\n",
    "topics = ['accounts', 'biology', 'geography', 'history', 'maths', 'physics', 'software']\n",
    "\n",
    "# Classification report for classifier 1\n",
    "print(\"Classifier 1:\")\n",
    "print(classification_report(test_labels, pred_labels_1))\n",
    "\n",
    "# Classification report for classifier 2\n",
    "print(\"Classifier 2:\")\n",
    "print(classification_report(test_labels, pred_labels_2))\n",
    "\n",
    "# Confusion matrix for classifier 1\n",
    "cm_1 = confusion_matrix(test_labels, pred_labels_1)\n",
    "print(\"Confusion Matrix - Classifier 1:\")\n",
    "print(cm_1)\n",
    "\n",
    "# Confusion matrix for classifier 2\n",
    "cm_2 = confusion_matrix(test_labels, pred_labels_2)\n",
    "print(\"Confusion Matrix - Classifier 2:\")\n",
    "print(cm_2)\n",
    "\n",
    "# Plotting the heatmaps\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.heatmap(cm_1, annot=True, cmap='Blues', fmt='d', xticklabels=topics, yticklabels=topics)\n",
    "plt.title(\"Confusion Matrix - Bag-of-Words (CountVectorizer) + SVM\")\n",
    "plt.xlabel(\"Predicted Labels\")\n",
    "plt.ylabel(\"True Labels\")\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.heatmap(cm_2, annot=True, cmap='Blues', fmt='d', xticklabels=topics, yticklabels=topics)\n",
    "plt.title(\"Confusion Matrix - TF-IDF (TfidfVectorizer)+ SVM\")\n",
    "plt.xlabel(\"Predicted Labels\")\n",
    "plt.ylabel(\"True Labels\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e789b4e9-a0d7-413f-9da5-8dd0530dc1bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix - Classifier 1:\n",
      "[[0.98245614 0.01754386 0.         0.         0.         0.\n",
      "  0.        ]\n",
      " [0.         0.99212598 0.         0.         0.         0.00787402\n",
      "  0.        ]\n",
      " [0.         0.15       0.75       0.         0.         0.1\n",
      "  0.        ]\n",
      " [0.         0.01       0.         0.95       0.         0.\n",
      "  0.04      ]\n",
      " [0.         0.         0.         0.         1.         0.\n",
      "  0.        ]\n",
      " [0.         0.         0.         0.         0.         0.99350649\n",
      "  0.00649351]\n",
      " [0.         0.         0.         0.         0.         0.\n",
      "  1.        ]]\n",
      "Confusion Matrix - Classifier 2:\n",
      "[[0.98245614 0.01754386 0.         0.         0.         0.\n",
      "  0.        ]\n",
      " [0.         0.99212598 0.         0.         0.         0.00787402\n",
      "  0.        ]\n",
      " [0.         0.15       0.75       0.         0.         0.1\n",
      "  0.        ]\n",
      " [0.         0.01       0.         0.95       0.         0.\n",
      "  0.04      ]\n",
      " [0.         0.         0.         0.         1.         0.\n",
      "  0.        ]\n",
      " [0.         0.         0.         0.         0.         0.99350649\n",
      "  0.00649351]\n",
      " [0.         0.         0.         0.         0.         0.\n",
      "  1.        ]]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1000x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Confusion matrix for classifier 1\n",
    "cm_1 = confusion_matrix(test_labels, pred_labels_1)\n",
    "cm_1_norm = cm_1 / cm_1.sum(axis=1, keepdims=True)  # Normalized confusion matrix\n",
    "\n",
    "print(\"Confusion Matrix - Classifier 1:\")\n",
    "print(cm_1_norm)\n",
    "\n",
    "# Confusion matrix for classifier 2\n",
    "cm_2 = confusion_matrix(test_labels, pred_labels_2)\n",
    "cm_2_norm = cm_2 / cm_2.sum(axis=1, keepdims=True)  # Normalized confusion matrix\n",
    "\n",
    "print(\"Confusion Matrix - Classifier 2:\")\n",
    "print(cm_2_norm)\n",
    "\n",
    "# Plotting the heatmaps\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.heatmap(cm_1_norm, annot=True, cmap='Blues', fmt='.2f', xticklabels=topics, yticklabels=topics)\n",
    "plt.title(\"Confusion Matrix - Bag-of-Words (CountVectorizer) + SVM\")\n",
    "plt.xlabel(\"Predicted Labels\")\n",
    "plt.ylabel(\"True Labels\")\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.heatmap(cm_2_norm, annot=True, cmap='Blues', fmt='.2f', xticklabels=topics, yticklabels=topics)\n",
    "plt.title(\"Confusion Matrix - TF-IDF (TfidfVectorizer) + SVM\")\n",
    "plt.xlabel(\"Predicted Labels\")\n",
    "plt.ylabel(\"True Labels\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "76458413-6281-4aa1-8e78-26d8c0839788",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "classifiers = ['Bag-of-Words (CountVectorizer) - SVM', 'TF-IDF (TfidfVectorizer) - SVM', 'Bag-of-Words (CountVectorizer) - Logistic regression', 'TF-IDF (TfidfVectorizer) - Logistic regression']\n",
    "accuracies = [0.98, 0.98, 0.96, 0.96]\n",
    "\n",
    "# Plotting the results\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(classifiers, accuracies, color='blue')\n",
    "plt.ylim(0.95, 1.0)\n",
    "plt.xlabel('Classifier')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.title('Comparison of Classifier Accuracies')\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "# Adding the accuracy values to the bars\n",
    "for i in range(len(classifiers)):\n",
    "    plt.text(i, accuracies[i], str(accuracies[i]), ha='center', va='bottom')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "94796cd0-7400-4aa4-9684-73e8e58377ce",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}