The Chinese microblog text is short,full of noise data and emoticons,and the words are often irregularly.For these characteristics,we proposed a fine-grained emotion analysis method.Combined with TF-IDF and variance statistics,we realized a method of calculating multi-class feature selection.We judge the text whether it is positive or negative first,then choose the fine-grained emotional tendency.And we get good result with the test using COAE data set.Compared with other method for feature selection and other emotional library,we did better.
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