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The evaluation for perceived quality of products based on text mining and fuzzy comprehensive evaluation

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Abstract

With the growth of the Internet and electronic commerce, more and more customers browse online reviews to understand products and service reputation. Online reviews can provide decision support for customers to purchase a product that is to their satisfaction. Manufacturers can also mine and analyze valuable information in favor of design and production from online reviews. Customer satisfaction is mainly determined by perceived quality of products. Hence, this study establishes a new method to evaluate the perceived quality by combining text mining with a fuzzy comprehensive evaluation method. The new evaluation method offers ideas and methods for future work to combine text mining technology with traditional evaluation methods. Customers can also make better purchase decisions and manufacturers design and manufacture better products by using this evaluation method.

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Acknowledgements

This research is supported by the Natural Science Foundation of China (71403138), the Shandong Humanities and Social Sciences Research Program of Colleges and Universities (J16YF15), and the Qingdao Social Science Program (QDSKL1601077).

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Authors and Affiliations

  1. School of Business, Qingdao University, Qingdao, 266100, China

    Lifeng He, Ning Zhang & Lemin Yin

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  1. Lifeng He
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  2. Ning Zhang
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  3. Lemin Yin
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Correspondence to Ning Zhang.

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He, L., Zhang, N. & Yin, L. The evaluation for perceived quality of products based on text mining and fuzzy comprehensive evaluation. Electron Commer Res 18, 277–289 (2018). https://doi.org/10.1007/s10660-018-9292-0

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  • DOI: https://doi.org/10.1007/s10660-018-9292-0

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