Mining internet media for monitoring changes of public emotions about infectious diseases

Sungwoon Choi, Jangho Lee, Sangheon Pack, Yoon Seok Chang, Sungroh Yoon

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

2 Citations (Scopus)

Abstract

The Internet encompasses websites, email, social media, and Internet-based television. Given the widespread use of networked computers and mobile devices, it has become possible to monitor the behavior of Internet users by examining their access logs and queries. Based on large-scale web and text mining of Internet media articles and associated user comments, we propose a framework to rapidly monitor how the emotion of the public changes over time and apply the framework to a real case of an infectious disease. The proposed methodology will be helpful for performing cost-effective and time-efficient public health monitoring that otherwise would take orders-of-magnitude more time and resources if traditional epidemiology techniques were used.

Original languageEnglish
Title of host publication2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages68-70
Number of pages3
ISBN (Electronic)9781509021086
DOIs
Publication statusPublished - 2016 Jun 20
Event32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016 - Helsinki, Finland
Duration: 2016 May 162016 May 20

Other

Other32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016
CountryFinland
CityHelsinki
Period16/5/1616/5/20

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Information Systems and Management
  • Computer Graphics and Computer-Aided Design

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  • Cite this

    Choi, S., Lee, J., Pack, S., Chang, Y. S., & Yoon, S. (2016). Mining internet media for monitoring changes of public emotions about infectious diseases. In 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016 (pp. 68-70). [7495619] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDEW.2016.7495619