课程设计 基于Python+Word2Vec的近义词分析系统源码+全部资料齐全.zip

# coding=utf-8 import sys reload(sys) sys.setdefaultencoding('utf-8') def get_max_similarity_word(words, model): length = len(words) sum_list = [] for i in range(length): word_sum = 0 for j in range(length): if i != j: if words[i] in words[j]: pass elif words[j] in words[i]: word_sum += 1 elif words[i] == words[j]: word_sum += 1 else: word_sum += model.similarity(unicode(words[i], "utf-8"), unicode(words[j], "utf-8")) sum_list.append((words[i], word_sum)) sum_list.sort(key=lambda a: a[1], reverse=True) return sum_list[0][0]