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: Article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English
    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Published - 2017 3月

    ASJC Scopus subject areas

    • 安全性、リスク、信頼性、品質管理
    • 工学(その他)

    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