Opinion Spam Recognition Method for Online Reviews using Ontological Features

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.

[1]  Fidel Cacheda,et al.  SAAD, a content based Web Spam Analyzer and Detector , 2013, J. Syst. Softw..

[2]  Yi Yang,et al.  Learning to Identify Review Spam , 2011, IJCAI.

[3]  Peter F. Patel-Schneider,et al.  OWL 2 Web Ontology Language Primer (Second Edition) , 2012 .

[4]  Christopher G. Harris.  Detecting Deceptive Opinion Spam Using Human Computation , 2012, HCOMP@AAAI.

[5]  Marc Najork,et al.  Detecting spam web pages through content analysis , 2006, WWW '06.

[6]  Yiyu Yao,et al.  Cost-sensitive three-way email spam filtering , 2013, Journal of Intelligent Information Systems.

[7]  Zhu Zhang,et al.  Utility scoring of product reviews , 2006, CIKM '06.

[8]  Abhinav Kumar,et al.  Spotting opinion spammers using behavioral footprints , 2013, KDD.

[9]  Arjun Mukherjee,et al.  Exploiting Burstiness in Reviews for Review Spammer Detection , 2021, ICWSM.

[10]  Arjun Mukherjee,et al.  Spotting fake reviewer groups in consumer reviews , 2012, WWW.

[11]  Xiaofei Deng,et al.  Multistage Email Spam Filtering Based on Three-Way Decisions , 2013, RSKT.

[12]  Tru H. Cao,et al.  Discovering Latent Concepts and Exploiting Ontological Features for Semantic Text Search , 2011, IJCNLP.

[13]  Ian Horrocks,et al.  OIL: An Ontology Infrastructure for the Semantic Web , 2001, IEEE Intell. Syst..

[14]  Ee-Peng Lim,et al.  Detecting product review spammers using rating behaviors , 2010, CIKM.

[15]  Jiawei Han,et al.  Survey on web spam detection: principles and algorithms , 2012, SKDD.

[16]  Bing Liu,et al.  Opinion spam and analysis , 2008, WSDM '08.

[17]  Ji Hong Yan,et al.  Research on Information Technology with Detecting the Fraudulent Clicks Using Classification Method , 2013 .

[18]  Junhui Wang,et al.  Detecting group review spam , 2011, WWW.

[19]  Claire Cardie,et al.  Finding Deceptive Opinion Spam by Any Stretch of the Imagination , 2011, ACL.

[20]  Kenji Nakamura,et al.  Detection Method of Blog Spam Based on Categorization and Time Series Information , 2012, 2012 26th International Conference on Advanced Information Networking and Applications Workshops.

[21]  Bin Li,et al.  Mobile Ontology , 2010, J. Digit. Content Technol. its Appl..

[22]  Ee-Peng Lim,et al.  Finding unusual review patterns using unexpected rules , 2010, CIKM.

[23]  T.H.H Duong,et al.  Detecting Vietnamese Opinion Spam , 2019, ArXiv.