A Text Mining and Multidimensional Sentiment Analysis of Online Restaurant Reviews

Volume: 18, Issue: 4, Pages: 465 - 492
Published: Oct 2, 2017
Abstract
This study aims to identify the structure of online restaurant reviews and examine the influence of review attributes and sentiments on restaurant star ratings. While past research indicated four attributes specific to restaurant reviews—food, service, ambience, and price—this study proposes context as the fifth attribute unique to online reviews. Sentiment analysis of online restaurant reviews has confirmed the proposed underlying structure of...
Paper Details
Title
A Text Mining and Multidimensional Sentiment Analysis of Online Restaurant Reviews
Published Date
Oct 2, 2017
Volume
18
Issue
4
Pages
465 - 492
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.