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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Evaluating Quality of Chinese Product Reviews Based on Fuzzy Logic
verfasst von : Wei Wei, Yang Xiang, Qian Chen, Xin Guo
Erschienen in: Emerging Research in Web Information Systems and Mining
Verlag: Springer Berlin Heidelberg
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The prevalence of web2.0 makes e-Commerce an increasingly popular trend. Consumers can post their product reviews about product after buying products on the web. These product reviews can help online user make sensible decisions and enable business enterprises to improve their business strategies. To cope with the information overload problem, opinion mining is needed to extract useful expression and summarize important opinion for users. But the quality of product reviews at websites varies greatly. In this paper, we propose a method based fuzzy logic to evaluate the quality of Chinese product reviews. We define three fuzzy sets to represent the different types of product reviews. We determine the quality of product reviews under the proximity membership principle based the three fuzzy sets. Experiments based on an expert-composed product reviews corpus show that our method can achieve promising performance.