2022
DOI: 10.3390/jtaer17040087
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TipScreener: A Framework for Mining Tips for Online Review Readers

Abstract: User-generated content explodes in popularity daily on e-commerce platforms. It is crucial for platform manipulators to sort out online reviews with repeatedly expressed opinions and a large number of irrelevant topics in order to reduce the information processing burden on review readers. This study proposes a framework named TipScreener that generates a set of useful sentences that cover all of the information of features of a business. Called tips in this work, the sentences are selected from the reviews in… Show more

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Cited by 2 publications
(1 citation statement)
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“…Intuitively, it is generally believed that the length of reviews represents the popularity of products and positively impacts sales. However, some studies have suggested that when review length exceeds a certain threshold, excessively long reviews will increase consumers' cognitive load, reducing the usefulness of reviews [33,39,40]. Therefore, to fully capture the economic impact of UGC, it is important to understand how consumers process the information embedded in UGC [41].…”
Section: Effect Of User-generated Content On Online Salesmentioning
confidence: 99%
“…Intuitively, it is generally believed that the length of reviews represents the popularity of products and positively impacts sales. However, some studies have suggested that when review length exceeds a certain threshold, excessively long reviews will increase consumers' cognitive load, reducing the usefulness of reviews [33,39,40]. Therefore, to fully capture the economic impact of UGC, it is important to understand how consumers process the information embedded in UGC [41].…”
Section: Effect Of User-generated Content On Online Salesmentioning
confidence: 99%