Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Electronic Commerce Research and Applications
International Journal of Electronic Commerce
Mining comparative sentences and relations
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
An Investigation of Potency of eWOM Messages with a Focus on Subjective Rank Expressions
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Elicitation of probabilities for belief networks: combining qualitative and quantitative information
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
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Electronic word-of-mouth (eWOM) is one important information source that influences consumer product evaluations. This paper presents a computational model that accounts for the potency differences in eWOM messages involving subjective rank expressions, which refer to linguistic representations related to the evaluated levels of the benefits of product attributes. The computational model postulates various types of subjective rank expressions obtained using techniques from opinion mining and sentiment analysis. The computational model incorporates the idea of inference space that contains all possible evaluated levels inferred by the message receiver. The computational model (1) evaluates inference quantum of each message numerically by using the inference space and (2) derives potency-magnitude relations by discerning the expertise level of the message receiver of the products. The unexplored behavioral hypotheses suggested by the computational model are discussed from an analytical viewpoint.