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

Takamitsu Funayama; Yoshiro Yamamoto; Osamu Uchida

doi:10.1109/ICTKE.2017.8259620

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 proceeding › Conference 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 language	English
Title of host publication	Proceedings - 2017 15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017
Publisher	IEEE Computer Society
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538621158
DOIs	https://doi.org/10.1109/ICTKE.2017.8259620
Publication status	Published - 2018 Jan 16
Externally published	Yes
Event	15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017 - Bangkok, Thailand Duration: 2017 Nov 22 → 2017 Nov 24

Publication series

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

Other

Other	15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017
Country/Territory	Thailand
City	Bangkok
Period	17/11/22 → 17/11/24

Keywords

Disaster
correspondence analysis
twitter
web application

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Information Systems

Access to Document

10.1109/ICTKE.2017.8259620

Cite this

Funayama, T., Yamamoto, Y., & Uchida, O. (2018). Development of visualization application of tweet data for extracting information in case of disaster. In Proceedings - 2017 15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017 (pp. 1-5). (International Conference on ICT and Knowledge Engineering). IEEE Computer Society. https://doi.org/10.1109/ICTKE.2017.8259620

Development of visualization application of tweet data for extracting information in case of disaster. / Funayama, Takamitsu; Yamamoto, Yoshiro; Uchida, Osamu.

Proceedings - 2017 15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017. IEEE Computer Society, 2018. p. 1-5 (International Conference on ICT and Knowledge Engineering).

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

Funayama, T, Yamamoto, Y & Uchida, O 2018, Development of visualization application of tweet data for extracting information in case of disaster. in Proceedings - 2017 15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017. International Conference on ICT and Knowledge Engineering, IEEE Computer Society, pp. 1-5, 15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017, Bangkok, Thailand, 17/11/22. https://doi.org/10.1109/ICTKE.2017.8259620

@inproceedings{e5773ae9f0164161a877adf28dfe0523,

title = "Development of visualization application of tweet data for extracting information in case of disaster",

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.",

keywords = "Disaster, correspondence analysis, twitter, web application",

author = "Takamitsu Funayama and Yoshiro Yamamoto and Osamu Uchida",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by JSPS KAKENHI Grant Number JP15K11997. Publisher Copyright: {\textcopyright} 2017 IEEE.; 15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017 ; Conference date: 22-11-2017 Through 24-11-2017",

year = "2018",

month = jan,

day = "16",

doi = "10.1109/ICTKE.2017.8259620",

language = "English",

series = "International Conference on ICT and Knowledge Engineering",

publisher = "IEEE Computer Society",

pages = "1--5",

booktitle = "Proceedings - 2017 15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017",

}

TY - GEN

T1 - Development of visualization application of tweet data for extracting information in case of disaster

AU - Funayama, Takamitsu

AU - Yamamoto, Yoshiro

AU - Uchida, Osamu

PY - 2018/1/16

Y1 - 2018/1/16

N2 - 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.

AB - 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.

KW - Disaster

KW - correspondence analysis

KW - twitter

KW - web application

UR - http://www.scopus.com/inward/record.url?scp=85044956538&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044956538&partnerID=8YFLogxK

U2 - 10.1109/ICTKE.2017.8259620

DO - 10.1109/ICTKE.2017.8259620

M3 - Conference contribution

AN - SCOPUS:85044956538

T3 - International Conference on ICT and Knowledge Engineering

SP - 1

EP - 5

BT - Proceedings - 2017 15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017

PB - IEEE Computer Society

T2 - 15th International Conference on ICT and Knowledge Engineering, ICT and KE 2017

Y2 - 22 November 2017 through 24 November 2017

ER -

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

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this