10_Extracting_Nouns 1.ipynb

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    "### Extracting Nouns - Extract and print all the nouns present in the text."
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   "source": [
    "import nltk\n",
    "from nltk import pos_tag, word_tokenize"
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      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\dell\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
      "[nltk_data]     C:\\Users\\dell\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
      "[nltk_data]       date!\n"
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    "nltk.download('punkt')\n",
    "nltk.download('averaged_perceptron_tagger')"
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    "def extract_nouns(text):\n",
    "    # Tokenize the text\n",
    "    words = word_tokenize(text)\n",
    "\n",
    "    # Perform part-of-speech tagging\n",
    "    tagged_words = pos_tag(words)\n",
    "\n",
    "    # Extract nouns (NN, NNS, NNPS, and NNP tags)\n",
    "    nouns = [word for word, pos in tagged_words if pos.startswith('NN')]\n",
    "\n",
    "    return nouns"
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     "text": [
      "Nouns in the text:\n",
      "['input', 'text', 'text']\n"
     ]
    }
   ],
   "source": [
    "# Example usage:\n",
    "text_to_analyze = \"Your input text goes here. Replace it with the actual text you want to analyze.\"\n",
    "\n",
    "nouns_result = extract_nouns(text_to_analyze)\n",
    "\n",
    "print(\"Nouns in the text:\")\n",
    "print(nouns_result)"
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