Poster abstract: Worldwide emerging disease-related information extraction system from news data

Myeonghwi Kim, Inhwan Kim, Miran Lee, Beakcheol Jang

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

1 Citation (Scopus)

Abstract

Although there have been many researches on the disease information system with the increased interest in disease, the existing systems have limitations in terms of emerging disease monitoring and internationalization. The purpose of this study is to develop a worldwide emerging disease-related information extraction system from news data, which provides nation-specific disease related information, disease-related topic ranking, map-based number of news articles per region, and various charts showing top disease regions and diseases. Our system is available on the web through http://www.epidemic.co.kr/worldwide.

Original languageEnglish
Title of host publicationSenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages331-332
Number of pages2
ISBN (Electronic)9781450359528
DOIs
Publication statusPublished - 2018 Nov 4
Event16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 - Shenzhen, China
Duration: 2018 Nov 42018 Nov 7

Publication series

NameSenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems

Conference

Conference16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018
CountryChina
CityShenzhen
Period18/11/418/11/7

Bibliographical note

Publisher Copyright:
© 2018 Copyright held by the owner/author(s).

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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