Acquiring netizen group's opinions for modeling food safety events

Zhangwen Tan, Wenji Mao, Daniel Zeng, Xiaochen Li, Xiuguo Bao

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

2 Scopus citations

Abstract

Food safety events are typical public security events that draw great public concern. In food safety events, millions of netizens pay close attention to the event, express their opinions online and thus influence the decisions of government or food producers. Modeling netizen groups, especially the dynamics of their opinions in these events, can help us understand the mechanism and evolvement of such events and provide valuable insights for social management. However, conventional computational models, such as agent-based models, are usually constructed manually. In this paper, we propose an approach to acquiring netizen group's opinions from online comments to facilitate the modeling of food safety events. We conduct experimental study on typical events happened in China and empirically evaluate the performance of our proposed approach. The results verify the effectiveness of the approach.

Original languageEnglish (US)
Title of host publicationISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationCyberspace, Border, and Immigration Securities
Pages114-119
Number of pages6
DOIs
StatePublished - Oct 17 2012
Event2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012 - Washington, DC, United States
Duration: Jun 11 2012Jun 14 2012

Publication series

NameISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics: Cyberspace, Border, and Immigration Securities

Other

Other2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012
Country/TerritoryUnited States
CityWashington, DC
Period6/11/126/14/12

Keywords

  • agent-based modeling
  • food safety event
  • netizen group
  • opinion extraction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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