Detecting Fake Reviews of Hype About Restaurants by Sentiment Analysis

Lecture notes in computer sciencePublished 1 January 2014

Run Yu Chen, Jin Yi Guo, Xiaolong Deng

DOI10.1007/978-3-319-11538-2_3

Source URL

Citations11

SJR quartileQ2

SJR score0.35

SNIP0.55

TL;DR

An algorithm is purposes to detect fake reviews of hype about restaurants based on sentiment analysis, and if the analysis result of the four dimensions are consistent, the review will be categorized as hype.

Abstract

Fake reviews in e-commerce website can greatly affect the choice of consumers. By categorizing the set of fake reviews, we find that fake reviews of hype make up the largest part, and this type of review is most misleading as well. We analyzed all the characteristics of fake reviews of hype and find the most evident one is in the text of the review. Usually, hype is completely positive or negative. So this article purposes an algorithm to detect fake reviews of hype about restaurants based on sentiment analysis. Reviews are considered in four dimensions: taste, environment, service and overall attitude, if the analysis result of the four dimensions are consistent, the review will be categorized as hype. The testing result shows that the accuracy of the algorithm is about 74 %. The method can also be applied to other areas, such as the sentiment analysis in emergency management.

Keywords

Computer Science

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