Development of visualization application of tweet data for extracting information in case of disaster

Takamitsu Funayama, Yoshiro Yamamoto, Osamu Uchida

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

1 Citation (Scopus)

Abstract

In Japan, when a disaster occurs, victims and local governments use social network services (SNSs), such as twitter, as a means of information transmission. Therefore, a variety of information gathers on SNSs. It is considered that, by utilizing this information, assistance to victims can be offered effectively. In this study, we focused on the twitter SNS, and we propose a method of extracting information by utilizing correspondence analysis and its visualization. Furthermore, using this method, we developed a web application for extracting search effective information.

Original languageEnglish
Title of host publicationProceedings - 2017 15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017
PublisherIEEE Computer Society
Pages1-5
Number of pages5
ISBN (Electronic)9781538621158
DOIs
Publication statusPublished - 2018 Jan 16
Externally publishedYes
Event15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017 - Bangkok, Thailand
Duration: 2017 Nov 222017 Nov 24

Publication series

NameInternational Conference on ICT and Knowledge Engineering
ISSN (Print)2157-0981
ISSN (Electronic)2157-099X

Other

Other15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017
CountryThailand
CityBangkok
Period17/11/2217/11/24

Keywords

  • Disaster
  • correspondence analysis
  • twitter
  • web application

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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