Abstract
This paper considers the problem of online reviews sentiment mining based on the theory of consumer psychology and behavior. Given the fuzzy attribute nature of the online reviews, we have established fuzzy group bases of consumer psychology. Four fuzzy bases, including features, sense, mood and evaluation, are established. The consumer attitude elements are reflected by natural language reviews. A fuzzy sentiment computing algorithm of online reviews for consumer sentiment is developed, and a fuzzy rule base is also presented based on consumer decision-making process. Finally it shows by means of an experiment that the proposed approach is very well suited as an analysis tool for the online reviews sentiment mining problem.
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Zhao, N., Li, Y. (2012). Using Fuzzy Sentiment Computing and Inference Method to Study Consumer Online Reviews. In: Cao, BY., Xie, XJ. (eds) Fuzzy Engineering and Operations Research. Advances in Intelligent and Soft Computing, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28592-9_30
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DOI: https://doi.org/10.1007/978-3-642-28592-9_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28591-2
Online ISBN: 978-3-642-28592-9
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