A novel feature extraction methodology for sentiment analysis of product reviews
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DOI: 10.1007/s00521-018-3477-2
Abstract: AbstractFeature extraction is one of the key steps for text sentiment analysis (SA), and the corresponding algorithms have important effect on the results. In the paper, a novel methodology is proposed to extract the feature… read more here.
Keywords: methodology; feature; product; sentiment analysis ... See more keywords
A Quantitative Study of Software Reviews Using Content Analysis Methods
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DOI: 10.1109/access.2022.3224048
Abstract: Online product reviews play a critical role for consumers to make a decision of product purchasing, and become an important data source for vendors to build recommendation systems. Some consumers won’t even buy a product… read more here.
Keywords: software; quality; organic reviews; product reviews ... See more keywords
Unraveling the Effect of Competing Product Reviews on Consumer Choice and the Moderating Role of Consumer–Reviewer Peer Types
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DOI: 10.1109/tem.2021.3091180
Abstract: Prior studies have paid little attention to the roles of online reviews of competing products on individuals’ purchase behaviors. This article contributes to the literature by unraveling the effect of competing product reviews on consumer… read more here.
Keywords: competing product; product; consumer; consumer reviewer ... See more keywords
Mining Product Reviews for Needs-Based Product Configurator Design: A Transfer Learning-Based Approach
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DOI: 10.1109/tii.2020.3043315
Abstract: Online product configurators, the prevailing toolkits used to realize mass customization, embody an advanced manufacturing strategy that provides customized products with the efficiency of mass production. Essentially, a product configuration system elicits customer needs and… read more here.
Keywords: needs based; product reviews; transfer learning; configurator ... See more keywords