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Opinion Spam Recognition Method for Online Reviews using Ontological Features
July 29, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
L. H. Nguyen, N. T. H. Pham, V. M. Ngo
arXiv ID
1807.11024
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.CL
Citations
13
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Nowadays, there are a lot of people using social media opinions to make their decision on buying products or services. Opinion spam detection is a hard problem because fake reviews can be made by organizations as well as individuals for different purposes. They write fake reviews to mislead readers or automated detection system by promoting or demoting target products to promote them or to damage their reputations. In this paper, we pro-pose a new approach using knowledge-based Ontology to detect opinion spam with high accuracy (higher than 75%). Keywords: Opinion spam, Fake review, E-commercial, Ontology.
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