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Evaluating Quality of Chinese Product Reviews Based on Fuzzy Logic

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Emerging Research in Web Information Systems and Mining (WISM 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 238))

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Abstract

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.

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References

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Author information

Authors and Affiliations

  1. College of Electronics and Information Engineering, Tongji University, Shanghai, China

    Wei Wei, Yang Xiang, Qian Chen & Xin Guo

  2. College of Electronics and Information Engineering, JingGangShan University, Ji’an, China

    Wei Wei

Authors
  1. Wei Wei
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  2. Yang Xiang
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  3. Qian Chen
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  4. Xin Guo
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Macau, Taipa, Macau, China

    Gong Zhiguo

  2. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

  3. School of Computer and Software, Taiyuan University of Technology, 030024, Taiyuan, China

    Junjie Chen

  4. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong SAR, China

    Fu Lee Wang

  5. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Wei, W., Xiang, Y., Chen, Q., Guo, X. (2011). Evaluating Quality of Chinese Product Reviews Based on Fuzzy Logic. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_45

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  • DOI: https://doi.org/10.1007/978-3-642-24273-1_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24272-4

  • Online ISBN: 978-3-642-24273-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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