how to generate synpost index of the word pair by python code

To generate a synpost index of a word pair using Python, you can use the WordNet module from the Natural Language Toolkit (NLTK) library. Here's an example code:

from nltk.corpus import wordnet

word1 = "happy"
word2 = "joyful"

synsets1 = wordnet.synsets(word1)
synsets2 = wordnet.synsets(word2)

for syn1 in synsets1:
    for syn2 in synsets2:
        similarity = syn1.path_similarity(syn2)
        if similarity is not None and similarity > 0.5:
            print(f"{syn1.name()} - {syn2.name()}: {similarity}")

In this code, we first import the WordNet module from NLTK. We then define the two words we want to find synpost index for (word1 and word2). We use the synsets() function from WordNet to get a list of synsets (i.e., sets of synonyms) for each word.

We then loop over each synset for word1 and word2 and calculate the path similarity between them using the path_similarity() function. If the similarity is greater than 0.5 (a threshold we chose arbitrarily), we print out the names of the synsets and their similarity score.

Note that the path_similarity() function returns None if the synsets are not in the same part of speech or if there is no path connecting them in the WordNet hierarchy. Therefore, we check for None before printing out the similarity score