Granular computing in opinion target extraction

Authors:
Jianyang Wu;Haipeng Wang;Xiaojun Xiang;Lin Shang
Affiliations:
State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China;State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China;State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China;State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China
Venue:
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Year:
2012

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Abstract

In opinion analysis, opinion target extraction is the basic component. Dealing with the opinion target extraction on short comments, we adopt two-dimensional vectors to represent words, which are composed of the frequency of the word and the proportion the word companying with subjective words respectively. Neural network is adopted in the opinion target extraction process, and the method is tested in different granularity sizes, the result of experiments shows the effectiveness of the method.