Empowering Consumer Decision-Making: Decoding Incentive vs. Organic Reviews for Smarter Choices Through Advanced Textual Analysis

Online reviews play a crucial role in influencing seller–customer dynamics. This research evaluates the credibility and consistency of reviews based on volume, length, and content to understand the impacts of incentives on customer review behaviors, how to improve review quality, and decision-making...

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Veröffentlicht in:	Electronics (Basel) 2024-11, Vol.13 (21), p.4316
Hauptverfasser:	Kargozari, Kate, Ding, Junhua, Chen, Haihua
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Computational linguistics Consumer preferences Credibility Customers Data analysis Decision making Economic incentives Impact analysis Information management Language processing Marketing research Natural language interfaces Product specifications Purchasing Ratings & rankings Sentiment analysis User experience
Online-Zugang:	Volltext
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