def demo(): from nltk.corpus import lin_thesaurus as thes word1 = "business" word2 = "enterprise" print "Getting synonyms for " + word1 print thes.synonyms(word1) print "Getting scored synonyms for " + word1 print thes.synonyms(word1) print "Getting synonyms from simN.lsp (noun subsection) for " + word1 print thes.synonyms(word1, fileid="simN.lsp") print "Getting synonyms from simN.lsp (noun subsection) for " + word1 print thes.synonyms(word1, fileid="simN.lsp") print "Similarity score for %s and %s:" % (word1, word2) print thes.similarity(word1, word2)
def demo(): from nltk.corpus import lin_thesaurus as thes word1 = "business" word2 = "enterprise" print("Getting synonyms for " + word1) print(thes.synonyms(word1)) print("Getting scored synonyms for " + word1) print(thes.scored_synonyms(word1)) print("Getting synonyms from simN.lsp (noun subsection) for " + word1) print(thes.synonyms(word1, fileid="simN.lsp")) print("Getting synonyms from simN.lsp (noun subsection) for " + word1) print(thes.synonyms(word1, fileid="simN.lsp")) print(f"Similarity score for {word1} and {word2}:") print(thes.similarity(word1, word2))