Online-Review-Based Fuzzy Computing and Inference of Consumer Sentiment
In accordance with the abundant emergence of subjective texts in the Web 2. 0 eras, consumer online reviews descrihe consumer's concerns and their experience with products or services. This paper considers the sentiment mining problem of online reviews based on the fuzzy theory. Given fuzzy attribute nature of consumer attitude elements reflected by the online reviews, we have estahlished fuzzy group bases derived from consumer psychology and behavior.Four fuzzy bases, including features, sense, mood and evaluation, are estahlished. A fuzzy sentiment computing algorithm FSCA-OR is developed, and a fuzzy rule base is also huilt 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.
online reviewsfuzzy group base of psychologyfuzzy sentiment computingrule basefuzzy inference
NETL
NSTL
万方数据
维普
