Generating tags for service reviews

Authors:
Suke Li;Jinmei Hao;Zhong Chen
Affiliations:
School of Electronics Engineering and Computer Science, Peking University, China and Key Laboratory of High Confidence Software Technologies, Peking University, Ministry of Education;Beijing Union University, China;School of Electronics Engineering and Computer Science, Peking University, China and Key Laboratory of High Confidence Software Technologies, Peking University, Ministry of Education
Venue:
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Year:
2010

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Abstract

This paper proposes an approach to generating tags for service reviews. We extract candidate service aspects from reviews, score candidate opinion words and weight extracted candidate service aspects. Tags are automatically generated for reviews by combining aspect weights, aspect ratings and aspect opinion words. Experimental results show our approach is effective to extract, rank, and rate service aspects.