计算机工程与应用2011，Vol.47Issue(14)：152-156,5.DOI:10.3778/j.issn.1002-8331.2011.14.044
一种基于粒运算的文本情感分类方法研究
Research of Chinese text sentiment classification based on granule computing.
摘要
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.关键词
粒运算/规则/文本情感/分类Key words
granular computing/ rule/ text sentiment/ classification分类
信息技术与安全科学引用本文复制引用
张霞,王素贞,许鸣珠..一种基于粒运算的文本情感分类方法研究[J].计算机工程与应用,2011,47(14):152-156,5.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.10972146) （the National Natural Science Foundation of China under Grant No.10972146）
河北省自然科学基金项目(No.E2010001089) （No.E2010001089）
河北省教育厅科研计划项目(No.2009116) （No.2009116）
河北省科技厅项目(No.10213595). （No.10213595）
