This project forked from rucinfo-tiffany/lda_topicmodeling
Latent dirichlet allocation using Sklearn
详细解释，请参见利用sklearn训练LDA主题模型及调参详解。其中，主要内容包括：
1加载语料库及预处理
2CountVectorizer统计词频
3LDA主题模型训练
4结果展示
5Optional调参过程
附录：sklearn LDA API 中文解释
P.S. 原代码基于anaconda3编写，依赖python3，nltk以及sklearn，可根据实际情况转换为python2.或升级你的python python2转python3可利用现成工具 " 2to3 -w sample_lda_training.py " " 2to3-2 -w sample_lda_training.py "
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