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

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

doi:10.1109/ICDEW.2016.7495619

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

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

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	68-70
Number of pages	3
ISBN (Electronic)	9781509021086
DOIs	https://doi.org/10.1109/ICDEW.2016.7495619
Publication status	Published - 2016 Jun 20
Event	32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016 - Helsinki, Finland Duration: 2016 May 16 → 2016 May 20

Publication series

Name	2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016

Other

Other	32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016
Country	Finland
City	Helsinki
Period	16/5/16 → 16/5/20

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

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

Access to Document

10.1109/ICDEW.2016.7495619

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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] (2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDEW.2016.7495619

Mining internet media for monitoring changes of public emotions about infectious diseases. / Choi, Sungwoon; Lee, Jangho; Pack, Sangheon; Chang, Yoon Seok; Yoon, Sungroh.

2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 68-70 7495619 (2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Choi, S, Lee, J, Pack, S, Chang, YS & 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., 7495619, 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016, Institute of Electrical and Electronics Engineers Inc., pp. 68-70, 32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016, Helsinki, Finland, 16/5/16. https://doi.org/10.1109/ICDEW.2016.7495619

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

Choi, Sungwoon ; Lee, Jangho ; Pack, Sangheon ; Chang, Yoon Seok ; Yoon, Sungroh. / Mining internet media for monitoring changes of public emotions about infectious diseases. 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 68-70 (2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016).

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title = "Mining internet media for monitoring changes of public emotions about infectious diseases",

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.",

author = "Sungwoon Choi and Jangho Lee and Sangheon Pack and Chang, {Yoon Seok} and Sungroh Yoon",

note = "Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science, ICT and Future Planning, MSIP) [No. 2011-0009963 and No. 2015M3A9A7029735], by the Future Flagship Program (10053249), by the Korean National Police Agency funded by MSIP (PA-C000001), by grant from the Seoul National University Bundang Hospital Research Fund (12-2013-009) and by a research grant from Samsung Advanced Institute of Technology. Publisher Copyright: {\textcopyright} 2016 IEEE.; 32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016 ; Conference date: 16-05-2016 Through 20-05-2016",

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N1 - Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science, ICT and Future Planning, MSIP) [No. 2011-0009963 and No. 2015M3A9A7029735], by the Future Flagship Program (10053249), by the Korean National Police Agency funded by MSIP (PA-C000001), by grant from the Seoul National University Bundang Hospital Research Fund (12-2013-009) and by a research grant from Samsung Advanced Institute of Technology. Publisher Copyright: © 2016 IEEE.

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N2 - 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.

AB - 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.

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

Abstract

Publication series

Other

ASJC Scopus subject areas

UN SDGs

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