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Semantic Features Revealed in Consumer-Review Studies
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Author(s): Jing Yang (SUNY Oneonta, USA), Tao Wu (SUNY Oneonta, USA)and Jeffrey Yi-Lin Forrest (Slippery Rock University, USA)
Copyright: 2023
Pages: 14
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch066
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Abstract
Numerous consumer review studies have been conducted. Various factors, such as reviewers, sellers, products, and even reviews themselves, have a significant impact on consumer behavior. The internal relationship between these factors, particularly those pertaining to the textual features of consumer reviews, is, however, still poorly understood. The authors establish a framework by conducting a review of the published literature on consumer reviews over the last decade, focusing on those that use semantic analysis, in order to identify the major characteristics of review content and style, as well as their relationship.
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