Affiliations: School of Business, Jiangnan University, Wuxi, Jiangsu, China
Correspondence:
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Corresponding author: Yong Liu, School of Business, Jiangnan University, Lihu Lake Road 1800, Wuxi, Jiangsu 214122, China. E-mail: [email protected].
Abstract: In the process of product ranking considering online reviews, they often are based on initial reviews and do not consider additional consumer reviews, but additional review information can sometimes directly affect consumers’ final decisions. To fully characterize the rich emotional preferences of consumers embedded in two-stage online customer reviews information, considering consumers’ individual preferences and product objective evaluation information, we construct a combination weighting method to calculate comprehensive weights of product attributes, and then exploit the sentiment analysis technique, interval-valued probabilistic linguistic term set (IVPLTS) and preference ranking organization method for enrichment evaluations (PROMETHEE) to establish a products ranking method based on compound reviews, and then we use it to identify the sentiment orientation of reviews and the results. Finally, a real-life case illustrates a real-world application of the proposed method.
Keywords: Product ranking, additional review information, sentiment analysis, interval-valued probabilistic linguistic term set, customer reviews information
