Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90559
Title: Online persuasion of review emotional intensity : a text mining analysis of restaurant reviews
Authors: Li, H 
Liu, H
Zhang, Z
Issue Date: Aug-2020
Source: International journal of hospitality management, Aug. 2020, v. 89, 102558
Abstract: Consumer-generated restaurant reviews are important sources in consumers’ purchase decisions. The purpose of this study is to explore the impact of emotional intensity on perceived review usefulness as well as the moderating effects of review length and reviewer expertise. Data from 600,686 reviews of 300 popular restaurants in the US were obtained from Yelp. Using a text mining approach and econometric analysis, empirical results show that (1) positive emotional intensity has a negative impact on perceived review usefulness, whereas negative emotional intensity has a positive impact on perceived review usefulness; (2) among the two most prevalent discrete negative emotions in online reviews (i.e., anger and anxiety), reviews expressing anger are more useful than those expressing anxiety; and (3) review length and reviewer expertise can moderate the effect of emotional intensity on perceived review usefulness.
Keywords: Discrete emotion
Emotional intensity
Review length
Review usefulness
Reviewer expertise
Publisher: Pergamon Press
Journal: International journal of hospitality management 
ISSN: 0278-4319
EISSN: 1873-4693
DOI: 10.1016/j.ijhm.2020.102558
Appears in Collections:Journal/Magazine Article

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