A novel feature extraction methodology for sentiment analysis of product reviews
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
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
Multi stage sentiment analysis for product reviews on Twitter using optimized machine learning algorithm
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DOI: 10.1038/s41598-025-23451-8
Abstract: Modern consumer feedback is located on societal networks, and therefore the activity of such sites as Twitter is important for product reviews. This work explores the feasibility of using machine learning algorithms to classify sentiments… read more here.
Keywords: product reviews; machine; sentiment analysis; machine learning ... 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
EEBERT: An Emoji-Enhanced BERT Fine-Tuning on Amazon Product Reviews for Text Sentiment Classification
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DOI: 10.1109/access.2024.3456039
Abstract: Understanding customer sentiment through product reviews is important for businesses aiming to enhance their products and services. Traditional sentiment analysis often struggles to detect the wide range of emotional nuances, particularly those expressed through emojis,… read more here.
Keywords: emoji enhanced; enhanced bert; amazon product; product reviews ... See more keywords
Unraveling the Effect of Competing Product Reviews on Consumer Choice and the Moderating Role of Consumer–Reviewer Peer Types
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Engineering Management"
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
Understanding the Effect of Product Reviews on YouTube on Consumers’ Intention to Purchase Electronic Devices
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DOI: 10.1177/21582440251381530
Abstract: YouTube product review videos are popular sources of information for consumers when making purchase decisions. This study examines how sensory marketing cues in these videos affect consumers’ parasocial interaction with content creators. This interaction leads… read more here.
Keywords: product; purchase; purchase intention; electronic devices ... See more keywords