关键词: 粒运算, 规则, 文本情感, 分类

Abstract: With the rapid development of Internet，text information containing standpoints，comments and opinions appears on Internet daily.Obviously，it is impossible to track and analyze these comments by hand.People start to pay attention to the subjective tendency analysis of the text comments and begin to do some research on it.In the sentiment classification，design of the classifier is the most important joint.Text comments usually aim at products in a field.The commenting sentences are usually short and brief.The feature words of the comments cross heavily.Under this situation，the classification algorithm based on rule learning has more advantages than the ones based on statistical method.This paper proposes a method based on granularity computing to get the sentiment classification of text comments through rule learning by establishing the granule network.

Key words: granular computing, rule, text sentiment, classification