Filtering spam in Weibo using ensemble imbalanced classification and knowledge expansion

Zhipeng Jin, Qiudan Li, Dajun Zeng, Lei Wang

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

12 Scopus citations

Abstract

Weibo has become an important information sharing platform in our daily life in China. Many applications utilize Weibo data to analyze hot topic and opinion evolution patterns to gain insights into user behavior. However, various spam messages degrade the performance of these applications and thus are essential to be filtered. In this paper, we propose a unified spam detection approach, which utilizes external knowledge sources to expand keywords features and applies an ensemble under-sampling based strategy to handle the class-imbalance problem. The experimental results show the effectiveness and robustness of our approach in Weibo data.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationSecuring the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages132-134
Number of pages3
ISBN (Electronic)9781479998883
DOIs
StatePublished - Jul 23 2015
Event13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 - Baltimore, United States
Duration: May 27 2015May 29 2015

Other

Other13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015
CountryUnited States
CityBaltimore
Period5/27/155/29/15

Keywords

  • class-imbalance learning
  • ensemble learning
  • external knowledge expansion
  • spam detection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Law
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Jin, Z., Li, Q., Zeng, D., & Wang, L. (2015). Filtering spam in Weibo using ensemble imbalanced classification and knowledge expansion. In 2015 IEEE International Conference on Intelligence and Security Informatics: Securing the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015 (pp. 132-134). [7165952] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2015.7165952