Document Type
Article
Abstract
Sentiment analysis of online comments and their application has become a hot topic. Meanwhile the evaluation and emotion method has challenged researchers and practitioners. This paper proposes a fuzzy modeling for the evaluation and emotion of online review texts by means of the theory of consumption motivation type and establishes corresponding fuzzy corpus. A calculation method of comprehensive evaluation and emotion with respect to the consumer‟s preference for product attributes provide reasoning antecedents. Establishment of fuzzy inference rules give results of recommendation to consumers of four different motivations. Experimental results prove the validity of the proposed method.
Recommended Citation
Zhao, Narisa; Liu, Ying; Yang, Deli; and Li, Yuan, "Product Fuzzy Recommendation of Online Reviews Based on Consumer Psychological Motives" (2010). ICEB 2010 Proceedings (Shanghai, China). 76.
https://aisel.aisnet.org/iceb2010/76