Twitter利用者の動的定量化手法の提案-Twitterの災害時活用に向けて-

URI http://harp.lib.hiroshima-u.ac.jp/it-hiroshima/metadata/12101
ファイル
タイトル
Twitter利用者の動的定量化手法の提案-Twitterの災害時活用に向けて-
別タイトル
Proposal of Dynamic Quantification Analysis Method of Twitter Users : Toward the Utilization of Twitter at the Time of Disaster
著者
氏名 川口 大貴
ヨミ カワグチ ヒロキ
別名 Kawaguchi Hiroki
氏名 松本 慎平
ヨミ マツモト シンペイ
別名 Matsumoto Shimpei
氏名 鳥海 不二夫
ヨミ トリウミ フジオ
別名 Toriumi Fujio
抄録

The authors have previously addressed the analysis of Twitter to automatically extract valuable information sent by humans with high real-time property. Since a lot of information sent by automatioc posting programs called "bot" has mixed in Twitter, currently a method to remove bot's voice has been developed. From our past studies, the identification of bots with satisfactory accuracy was confirmed by the filtering method. Based on the previous efforts,this paper proposes entropy based dynamic quantification analysis method of Twitter users toward the utilization of twitter at the time of disaster.If a disaster occurs, long-term data on Twitter will not be available because valuable information for the disaster should be collected as soon as possible. Therefore in this paper, the usual method is improved by changing the range of data set for analysis dynamically. This paper performs some experiments with the real Twitter data around the Great East Japan Earthquake, and shows the effectiveness of the proposed method.

掲載雑誌名
IEEE SMC Hiroshima Chapter Young Researchers' Workshop proceedings : IEEE SMC Hiroshima Chapter若手研究会講演論文集
2013
開始ページ
115
終了ページ
118
出版年月日
2013-07
出版者
IEEE SMC Hiroshima Chapter
ISSN
2187-3577
NCID
HP01495586
NAID
40019882259
本文言語
日本語
資料タイプ
会議発表論文
著者版フラグ
著者版
権利情報
©Copyright by IEEE SMC Hiroshima Chapter. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
関連情報URL(異版である)
区分
it-hiroshima