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  1. ML碎碎念

TF-IDF

PrevioustestNextpopulation stability index

Last updated 4 years ago

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TF=（词语在文章中出现次数）/ （文章总词数）

IDF=log (语料库文档总数/(包含该词的文档数+1))

TF - IDF = TF * IDF

TF-IDF算法可以理解为相对熵的应用：词频在整个语料库的分布与词频在具体文档中分布之间的差异性。

TF-IDF原理及使用

http://blog.csdn.net/zrc199021/article/details/53728499