Text-data reduction method to grasp the sequence of a disaster situation: Case study of web news analysis of the 2015 typhoons 17 and 18

研究成果: ジャーナルへの寄稿学術論文査読

抄録

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.

本文言語英語
ページ(範囲)329-334
ページ数6
ジャーナルJournal of Disaster Research
12
2
DOI
出版ステータス出版済み - 2017 3月

フィンガープリント

「Text-data reduction method to grasp the sequence of a disaster situation: Case study of web news analysis of the 2015 typhoons 17 and 18」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル