python如何求词语关联性相关词pmi？
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使用word2vec的model.wv.most_similar来获取关联性词汇，完整代码如下：
#!/usr/local/python3/bin/python3
# -*- coding: utf-8 -*
import jieba
from gensim.models import word2vec
import logging
#分词
f1 =open("/data/wwwroot/default/asset/fenci.txt",encoding = 'utf-8')
f2 =open("fenci_result.txt", 'a',encoding = 'utf-8')
lines =f1.readlines() # 读取全部内容
for line in lines:
line.replace('\t', '').replace('\n', '').replace(' ','')
seg_list = jieba.cut(line, cut_all=False)
f2.write(" ".join(seg_list))
f1.close()
f2.close()
# 主程序
logging.basicConfig(format='%(asctime)s:%(levelname)s: %(message)s', level=logging.INFO)
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