TY - JOUR
T1 - Text-data reduction method to grasp the sequence of a disaster situation
T2 - Case study of web news analysis of the 2015 typhoons 17 and 18
AU - Sato, Shosuke
AU - Okamoto, Toru
AU - Koshimura, Shunichi
N1 - Funding Information:
This research was conducted using subsidies for scientific research (basic research (A)) “renewals of supporting policies of affected areas by a combination of remote sensing and social sens-ing” (Representative: Prof. Shunichi Koshimura) and the Enterprise for Promoting Strategic and Creative Researches in the Japan Science and Technology Agency (CREST) (Representative: Prof. Shunichi Koshimura).
Publisher Copyright:
© 2017, Fuji Technology Press. All rights reserved.
PY - 2017/3
Y1 - 2017/3
N2 - This study aims to compress web news, delivered as a big-data source after disasters. In this paper, article clustering, which is a combination of conventional means and an algorithm that selects the representative articles of each cluster, is designed and adopted. Experiments are conducted by evaluators. The proposed algorithm is in accord with the evaluators for 50s% of the clustering and for about 30s% to 40s% of the representative-article selection.
AB - This study aims to compress web news, delivered as a big-data source after disasters. In this paper, article clustering, which is a combination of conventional means and an algorithm that selects the representative articles of each cluster, is designed and adopted. Experiments are conducted by evaluators. The proposed algorithm is in accord with the evaluators for 50s% of the clustering and for about 30s% to 40s% of the representative-article selection.
KW - Common operational picture (COP)
KW - Disaster information system
KW - Disaster situation
KW - Text data
KW - Web news
UR - http://www.scopus.com/inward/record.url?scp=85015347039&partnerID=8YFLogxK
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U2 - 10.20965/jdr.2017.p0329
DO - 10.20965/jdr.2017.p0329
M3 - Article
AN - SCOPUS:85015347039
VL - 12
SP - 329
EP - 334
JO - Journal of Disaster Research
JF - Journal of Disaster Research
SN - 1881-2473
IS - 2
ER -