EXTRACTING OPINION TOPICS FROM REVIEWS ON WEB
Previous work on opinion mining focuses only on sentiment classification with the postulation. In contrast to sentiment classification, opinion extraction aims at producing richer information and requires an in-depth analysis of opinions. In this paper, we want to add some popular glossary which are particular expression internet to the dictionary, and propose a rule-based approach to extracting topics from opinion sentences given these sentences identified from texts in advance. We annotate the corpus using semi-structured format and adopt several rules based on the syntactic roles of words using the Dependence Grammar.
opinion extraction semi-structured format dependence grammar
Tingting Li Cong Wang
School of Information Engineering,Beijing University of Posts and Telecommunications,Beijing,China
国际会议
2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)
北京
英文
2008-10-18（万方平台首次上网日期，不代表论文的发表时间）