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chinese-gensim-word2vec's Introduction

Chinese-word2vec-gensim

  • 概要

    针对中文语料数据，基于gensim实现word2vec训练

  • 代码

    wiki_to_txt.py -- 将中文wiki语料库转换为txt的demo

    segmentation.py -- 对原文进行停用词、简繁转换、分词处理

    train.py -- 利用gensim包进行词向量训练

    main.py -- 使用示例

  • 语料

    存于data_txt文件夹中

  • 效果

>>> word_vectors = KeyedVectors.load_word2vec_format("result.model.bin", binary= True)
>>> res = word_vectors.most_similar(u"张无忌", topn=10)
>>> for item in res:
...     print(item[0] + "," + str(item[1]))

赵敏,0.6036754250526428
周芷若,0.6033296585083008
小昭,0.551782488822937
范遥,0.5341595411300659
赵姑娘,0.5281729698181152
虚竹,0.5051340460777283
任我行,0.4973219037055969
公孙谷主,0.489465594291687
孙刚峰,0.4861780107021332
白龟寿,0.48617029190063477

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