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Erschienen in:
Using Implicit Preference Relations to Improve Content Based Recommending Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

The Interactive Effect of Review Rating and Text Sentiment on Review Helpfulness

verfasst von : Shasha Zhou, Bin Guo

Erschienen in: E-Commerce and Web Technologies

Verlag: Springer International Publishing

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Abstract

Review ratings and text sentiments respectively represent quantitative and qualitative aspects of user-generated product reviews. These two types of polarity information complement each other in affecting consumers’ review evaluation. Few extant studies consider the interplay of review rating and text sentiment on perceived review helpfulness. In this study, we attempt to investigate this potential interaction effect and examine whether it is conditional on review length. The empirical results from an analysis of 70,610 restaurant reviews from Yelp.com indicate that both review ratings and text sentiments exhibit negativity bias effect, such that negative ratings and texts are more helpful than positive ones. Meanwhile, the two types of review valence have a positive interaction effect on perceived review helpfulness. Moreover, the interaction effect of review rating and text sentiment is stronger for longer reviews.

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Metadaten
Titel
The Interactive Effect of Review Rating and Text Sentiment on Review Helpfulness
verfasst von
Shasha Zhou
Bin Guo
Copyright-Jahr
2015
Buch
E-Commerce and Web Technologies

Print ISBN: 978-3-319-27728-8

Electronic ISBN: 978-3-319-27729-5

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-27729-5_8

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