11_Cost_Function_Similarity _NLTK.ipynb

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   "source": [
    "import nltk\n",
    "from nltk.corpus import wordnet"
   ]
  },
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    "def word_similarity(word1, word2):\n",
    "    # Get synsets for each word\n",
    "    synsets1 = wordnet.synsets(word1)\n",
    "    synsets2 = wordnet.synsets(word2)\n",
    "\n",
    "    max_similarity = 0\n",
    "    for synset1 in synsets1:\n",
    "        for synset2 in synsets2:\n",
    "            # Calculate similarity using Wu-Palmer Similarity\n",
    "            similarity = synset1.wup_similarity(synset2)\n",
    "            if similarity is not None and similarity > max_similarity:\n",
    "                max_similarity = similarity\n",
    "    \n",
    "    return max_similarity"
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     "text": [
      "Similarity between 'happy' and 'happiness': 0.2222222222222222\n"
     ]
    }
   ],
   "source": [
    "# Example usage\n",
    "word1 = \"happy\"\n",
    "word2 = \"happiness\"\n",
    "similarity = word_similarity(word1, word2)\n",
    "print(f\"Similarity between '{word1}' and '{word2}': {similarity}\")"
   ]
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