Comments (2)
您好,
感谢您对本项目的关注,说实话这个项目还有很多不足之处一直没去搞还是非常惭愧的。
情感分析这块我就是利用bayes模型来做的二分类,另外一种常见用法就是利用bayes做垃圾过滤
这里的核心**就是求P(正向|给定句子)的概率,根据bayes定理等于P(句子|正向)*P(正向)/p(句子),正比于P(句子|正向)*P(正向),然后由naive bayes的假设,可以等于P(句子|正向)=相乘P(Wi|正向),这里Wi表示的是词,相关资料的话可以看看这几个
http://52opencourse.com/235/%E6%96%AF%E5%9D%A6%E7%A6%8F%E5%A4%A7%E5%AD%A6%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86%E7%AC%AC%E4%B8%83%E8%AF%BE-%E6%83%85%E6%84%9F%E5%88%86%E6%9E%90%EF%BC%88sentiment-analysis%EF%BC%89
http://www.cs.cornell.edu/home/llee/papers/sentiment.pdf
http://www.isnowfy.com/spell-correct/
谢谢
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謝謝您提供的reference!
您的snownlp對我目前的研究有極大的幫助,讓我在text mingin的實作和理論上有很大的進步,反倒是我要感謝您的contribute
我會好好讀您提供的資源,有機會再與您分享心得~
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