Detecting opinion spammer groups through community discovery and sentiment analysis

Euijin Choo, Ting Yu, Min Chi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

In this paper we investigate on detection of opinion spammer groups in review systems. Most existing approaches typically build pure content-based classifiers, using various features extracted from review contents; however, spammers can superficially alter their review contents to avoid detections. In our approach, we focus on user relationships built through interactions to identify spammers. Previously, we revealed the existence of implicit communities among users based upon their interaction patterns [3]. In this work we further explore the community structures to distinguish spam communities from non-spam ones with sentiment analysis on user interactions. Through extensive experiments over a dataset collected from Amazon, we found that the discovered strong positive communities are more likely to be opinion spammer groups. In fact, our results show that our approach is comparable to the existing state-of-art content-based classifier, meaning that our approach can identify spammer groups reliably even if spammers alter their contents.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages170-187
Number of pages18
Volume9149
ISBN (Print)9783319208091
DOIs
Publication statusPublished - 2015
Event29th IFIP WG 11.3 Working Conference on Data and Applications Security, DBSec 2015 - Fairfax, United States
Duration: 13 Jul 201515 Jul 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9149
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other29th IFIP WG 11.3 Working Conference on Data and Applications Security, DBSec 2015
CountryUnited States
CityFairfax
Period13/7/1515/7/15

    Fingerprint

Keywords

  • Community discovery
  • Opinion spammer groups
  • Sentiment analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Choo, E., Yu, T., & Chi, M. (2015). Detecting opinion spammer groups through community discovery and sentiment analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9149, pp. 170-187). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9149). Springer Verlag. https://doi.org/10.1007/978-3-319-20810-7_11