Added jupyter notebooks for 1.1, 1.2, 1.3.

Notebooks/Code-1.3 (Stopword Removal).ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ca2da52f-4a43-4db5-bf5d-54bd3506f81e",
+   "metadata": {},
+   "source": [
+    "# Code-1.3\n",
+    "\n",
+    "Problem Statement: Write a program for Pre-processing of a Text Document: stop word removal.\n",
+    "\n",
+    "Code from InformationRetrieval (SPPU - Final Year - Computer Engineering - Content) repository on KSKA Git: https://git.kska.io/sppu-be-comp-content/InformationRetrieval/\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "f9085aa3-6fc3-432c-8a96-5e6dcb89a900",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import libraries\n",
+    "import nltk\n",
+    "from nltk.corpus import stopwords\n",
+    "from nltk.tokenize import word_tokenize"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "81c78019-0857-4e4a-8235-8d2db97de214",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[nltk_data] Downloading package punkt to /home/nonroot/nltk_data...\n",
+      "[nltk_data]   Package punkt is already up-to-date!\n",
+      "[nltk_data] Downloading package stopwords to\n",
+      "[nltk_data]     /home/nonroot/nltk_data...\n",
+      "[nltk_data]   Package stopwords is already up-to-date!\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Download NLTK Resources\n",
+    "nltk.download('punkt')\n",
+    "nltk.download('stopwords')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "58c711bf-c052-4314-8103-5f6ce43d41c0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Stop word removal function\n",
+    "def remove_stop_words(text):\n",
+    "    # Tokenizing the text into words\n",
+    "    words = word_tokenize(text)\n",
+    "    \n",
+    "    # Defining the English stop words\n",
+    "    stop_words = set(stopwords.words('english'))\n",
+    "    \n",
+    "    # Removing stop words from the text\n",
+    "    filtered_words = [word for word in words if word.lower() not in stop_words]\n",
+    "    \n",
+    "    return ' '.join(filtered_words)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "fb409348-1737-48ac-baad-7a9024914b57",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Original Text:\n",
+      "This is an example of a text document that needs stop word removal\n",
+      "\n",
+      "Preprocessed Text:\n",
+      "example text document needs stop word removal\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Main function\n",
+    "if __name__ == \"__main__\":\n",
+    "    input_text = \"This is an example of a text document that needs stop word removal\"\n",
+    "    preprocessed_text = remove_stop_words(input_text)\n",
+    "    print(\"Original Text:\")\n",
+    "    print(input_text)\n",
+    "    print(\"\\nPreprocessed Text:\")\n",
+    "    print(preprocessed_text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "54566bef-20a0-494b-9299-500417834bfd",
+   "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": "3.8.20"
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+ "nbformat": 4,
+ "nbformat_minor": 5
+}