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    Title: Automated Classification Design for Social Media Information in a Disaster Event
    Authors: Shih, S.-F.;Li, T.-Y.;Cheng, Y.-C.;Chen, P.-L.
    施旭峰;李蔡彥;鄭宇君;陳百齡
    Contributors: 資科系;傳播學院
    Keywords: 災難傳播;社群媒體;鉅量資料;機器學習;社群感知
    Date: 2014-05
    Issue Date: 2016-03-15 17:46:36 (UTC+8)
    Abstract: 近年來,當重大災難發生時,人們經常透過網路通訊工具傳遞災情或求救訊息,大量的資訊人力已無法負荷,如何在第一時間進行有效分類,以即時傳遞到適當的救災、協尋或資源調度單位,一直是救援單位的重要課題。本研究以台灣莫拉克風災期間的五個災難頻道的資料集為分析對象,包括地方救災中心報案紀錄、災情網站貼文、Twitter 等文字資料。經過文字處理與專家分類後,透過詞頻分布、分類結構組成、詞彙共現網絡等方式,探討不同頻道資料集之異同。進一步使用空間向量模型與機器學習的方法,建立社群媒體災難資料的自動化分類器。本研究的歸納與所發展出來的分類方式與資訊探索技術,將可用於開發更有效率的社群感知器。
    Relation: Proceedings of International Conference on Information Management, Tai-Chun
    Data Type: conference
    Appears in Collections:[Department of Computer Science ] Proceedings

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