Opinion Target Network and Bootstrapping Method for Chinese Opinion Target Extraction

Authors:
Yunqing Xia;Boyi Hao;Kam-Fai Wong
Affiliations:
Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China 100084;Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China 100084 and Department of Computer Science and Technology, Tsinghua University, Beijing, Chi ...;Department of System Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong
Venue:
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Year:
2009

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Abstract

Opinion mining systems suffer a great loss when unknown opinion targets constantly appear in newly composed reviews. Previous opinion target extraction methods typically consider human-compiled opinion targets as seeds and adopt syntactic/statistic patterns to extract opinion targets. Three problems are worth noting. First, the manually defined opinion targets are too large to be good seeds. Second, the list that maintains seeds is not powerful to represent relationship between the seeds. Third, one cycle of opinion target extraction is barely able to give satisfactory performance. As a result, coverage of the existing methods is rather low. In this paper, the opinion target network (OTN) is proposed to organize atom opinion targets of component and attribute in a two-layer graph. Based on OTN, a bootstrapping method is designed for opinion target extraction via generalization and propagation in multiple cycles. Experiments on Chinese opinion target extraction show that the proposed method is effective.