word2vec python使用

（1）安装gensim

pip install  --upgrade setuptoolspip install gensimsudo pip install pattern

（2）使用上次训练好的词向量vectors.bin

vectors.bin 的生成参考http://blog.csdn.net/u013378306/article/details/54616829

# -*- coding: utf-8 -*-from gensim.models.word2vec import  Word2Vecmodel=Word2Vec.load_word2vec_format("/home/lhy/data/word2vec/w2v/trunk/vectors.bin",binary=True);#输出词good的向量print model["good"]#找出 woman king积极影响，man消极影响的词，按顺序5个ll=model.most_similar(positive=['woman','king'],negative=['man'],topn=5);print ll;#good ,bad的余弦相似度sim1 = model.similarity(u'good', u'bad')print sim1# 两个列表的 余弦相似度list1 = [u'good', u'bad']list2 = [u'red',u'good']list_sim1 =  model.n_similarity(list1, list2)print list_sim1#找出其中一个不同于其他类的词list = [u'good', u'bad', u'her', u'greet']print model.doesnt_match(list)