2018年1月16日
Development of visualization application of tweet data for extracting information in case of disaster
International Conference on ICT and Knowledge Engineering
- ,
- ,
- 開始ページ
- 1
- 終了ページ
- 5
- 記述言語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/ICTKE.2017.8259620
© 2017 IEEE. 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.
- リンク情報
-
- DOI
- https://doi.org/10.1109/ICTKE.2017.8259620
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000426526500008&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044956538&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85044956538&origin=inward
- ID情報
-
- DOI : 10.1109/ICTKE.2017.8259620
- ISSN : 2157-0981
- eISSN : 2157-099X
- SCOPUS ID : 85044956538
- Web of Science ID : WOS:000426526500008