Online fake review identification based on decision rules

Title

Online fake review identification based on decision rules

Creator

Sanjay K.S.; Danti A.

Description

Posting of online reviews play a dominant role in sharing the customers opinion in social Medias. But the challenge is how to trust these reviews. Many researchers carried their work on sentimental analysis, predictions or forecasting but very few focused on fake reviews analysis. Fake reviews also change the mood of the people on their buying pattern. In the online shopping at a greater extent. In this paper, several conditions are applied on the reviews to identify fake reviews using support vector machines. Experimental results are validated using various accuracy measures and compared to state of the art methods to demonstrate the efficacy of the proposed method. 2019, World Academy of Research in Science and Engineering. All rights reserved.

Source

International Journal of Advanced Trends in Computer Science and Engineering, Vol-8, No. 2, pp. 140-143.

Date

2019-01-01

Publisher

World Academy of Research in Science and Engineering

Subject

Fake reviews; Online reviews; Svm

Coverage

Sanjay K.S., The Bangalore social & Educational Institutions, India; Danti A., Christ Deemed to be University, Bangalore, Karnataka, India

Rights

All Open Access; Bronze Open Access

Relation

ISSN: 22783091

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.30534/ijatcse/2019/07822019

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