An integration strategy for mining product features and opinions

Authors:
Qingliang Miao;Qiudan Li;Ruwei Dai
Affiliations:
Chinese Academy of Sciences, Beiing, China;Chinese Academy of Sciences, Beiing, China;Chinese Academy of Sciences, Beijing, China
Venue:
Proceedings of the 17th ACM conference on Information and knowledge management
Year:
2008

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Abstract

With the development of Web 2.0, the web has become an extremely valuable source for mining opinions. In this paper, we study how to automatically mine product features and opinions by integrating multiple review sources. We propose an integration strategy to solve the problem. Experiments show that the proposed strategy is effective.