Abstract
Our goal is to be able to answer the questions that have arisen because of our research, "Which characteristics make internet reviews useful?" To address this issue, we used douban.com, a prominent consumer movie review site, to gather online movie reviews. This research creates an internet effect factor reviews framework using data mining methods. The findings show that article qualities do have an impact on users' judgments of intervention effectiveness. The duration of online reviews, optimistic attitude, severe emotional inclination, and review reliability all have a significant beneficial influence on the effectiveness of reviews. Moreover, happy emotions are more beneficial and powerful than bad emotions. The findings also imply that review number moderates the association between online reviews’ high emotional inclination and their effectiveness. The research gives insight into how people assess online reviews, and the results may aid professionals in developing methods that utilize reviews to forecast commercial success in the market.
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