Generating Tags for Service Reviews

摘要：

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.

关键词： service review tagging service aspect weighting opinion mining

作者: Suke Li Jinmei Hao Zhong Chen

作者单位: School of Electronics Engineering and Computer Science, Peking University, China Key Laboratory of H Beijing Union University, China

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 463-474

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）