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@Slater-Victoroff /Synonym_checker
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General case synonym matching using nltk.
from nltk.corpus import wordnet
from nltk.stem.wordnet import WordNetLemmatizer
import itertools
def Synonym_Checker(word1, word2):
"""Checks if word1 and word2 and synonyms. Returns True if they are, otherwise False"""
equivalence = WordNetLemmatizer()
word1 = equivalence.lemmatize(word1)
word2 = equivalence.lemmatize(word2)
word1_synonyms = wordnet.synsets(word1)
word2_synonyms = wordnet.synsets(word2)
scores = [i.wup_similarity(j) for i, j in list(itertools.product(word1_synonyms, word2_synonyms))]
max_index = scores.index(max(scores))
best_match = (max_index/len(word1_synonyms), max_index % len(word1_synonyms)-1)
word1_set = word1_synonyms[best_match[0]].lemma_names
word2_set = word2_synonyms[best_match[1]].lemma_names
match = False
match = [match or word in word2_set for word in word1_set][0]
return match
print Synonym_Checker("tomato", "Lycopersicon_esculentum")
@siddhant3s

word1_set = word1_synonyms[best_match[0]].lemma_names should be word1_set = word1_synonyms[best_match[0]].lemma_names() Notice the parens at the end ()

@hyp3rv1p3r

best_match should contain integers but often it contains floats so the code fails when you call word1_synonyms[best_match[0]] or word2_synonyms[best_match[0]].

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