Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog

摘要：

　　Sentiment target extraction on Chinese microblog has attracted increasing research attention.Most previous work relies on syntax,such as automatic parse trees,which are subject to noise for informal text such as microblog.In this paper,we propose a modified CRFs model for Chinese microblog sentiment target extraction.This model see the sentiment target extraction as a sequence-labeling problem,incorporating the contextual information,syntactic rules and opinion lexicon into the model with multi-features.The major contribution of this method is that it can be applied to the texts in which the targets are not mentioned in the sequence.Experimental results on benchmark datasets show that our method can consistently outperform the state-of-the-art methods.

关键词： CRFs Multi-features Sentiment target extraction Sentiment analysis

作者: Bingfeng Chen Zhifeng Hao Ruichu Cai Wen Wen Shenzhi Du

作者单位: Faculty of Computer Science,Guangdong University of Technology,Guangzhou,China Faculty of Computer Science,Guangdong University of Technology,Guangzhou,China;School of Mathematics

会议类型: 国际会议

会议名称: International Asia-Pacific Web Conference(第18届国际亚太互联网大会)

会议地点: 苏州

会议语种:英文

页码: 29-41

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）