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    "# 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",
    "---"
   ]
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   "id": "f9085aa3-6fc3-432c-8a96-5e6dcb89a900",
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   "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",
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    {
     "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"
     ]
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       "True"
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   ],
   "source": [
    "# Download NLTK Resources\n",
    "nltk.download('punkt')\n",
    "nltk.download('stopwords')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "58c711bf-c052-4314-8103-5f6ce43d41c0",
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   "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)"
   ]
  },
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