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

Lifeng He (), Ning Zhang () and Lemin Yin
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Lifeng He: Qingdao University
Ning Zhang: Qingdao University
Lemin Yin: Qingdao University

Electronic Commerce Research, 2018, vol. 18, issue 2, No 6, 277-289

Abstract: 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.

Keywords: Online shopping review; Text mining; Fuzzy comprehensive evaluation method; Product evaluation (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10660-018-9292-0

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