《Thumbs up? Sentiment Classification using Machine Learning Techniques》笔记
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这篇论文早就读过，现在重读一遍。
这是一篇2002年的论文，它的结论如下：
算法方面：
SVM比最大熵和朴素贝叶斯好
特征方面：
Bnigram并不比Unigram好
特征的presence比frequency好
词性影响不大
词的位置影响不大
读完。
读了也是白读，talk is cheap, show me the code，我还是写不出效果好的程序。
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