会议专题

Research on Recognition of the Emotional Tendencies in Web Data Minging

In the research of text emotional classification, although the method based on using characteristic words list and affective words list to identify the text emotional tendencies is simple and quick, but the accuracy is often poor. That’s more the method cannot judgment the rhetorical relations. To solve this problem, this paper from the semantic comprehension point of view, using the dependency parsing method to process the sentiment phrases, feature phrase and negative sentence, and makes the text emotional classification possible. The experimental results show that this method can meet the practical need.

datamining recognitionoftheemotional emotionaltendencies DependencyParsing

YANG Zi-Rong ZENG Zhen CHEN Jing-Hao

School of InformationGuizhou Financial And Economics InstituteGuiyang , P.R.China , 550004 School of Information Management WuHuan University,WuHuan WuHuan , P.R.China , 430072

国际会议

2011 International Conference on Business Management and Electronic Information(2011商业管理与电子信息国际学术会议 BMEI2011)

广州

英文

1-6

2011-05-13(万方平台首次上网日期,不代表论文的发表时间)