resume_optimizer.py 文件源码

def _suggest_synonyms(self, target_words, words):
        suggestions = []
        word_synonyms = [(Word(w[0]).get_synsets(pos=VERB), w[1]) for w in target_words]
        for w in words:
            found = False
            synset = (Word(w[0]).get_synsets(pos=VERB), w[1])
            if len(synset[0]):
                for synonym in [s for s in word_synonyms if len(s[0])]:
                    similarity = synset[0][0].path_similarity(synonym[0][0])
                    if similarity == 1.0:
                        found = True
                    if 1.0 > similarity > 0.4 and not found:
                        suggestions.append((synset[0][0].name().split(".")[0], synonym[0][0].name().split(".")[0]))

        return suggestions