カワイ ユキコ   KAWAI YUKIKO
  河合 由起子
   所属   京都産業大学  情報理工学部 情報理工学科
   職種   教授
言語種別 英語
発行・発表の年月 2015
形態種別 研究論文(国際会議プロシーディングス)
査読 査読あり
標題 Measuring Crowd Mood in City Space Through Twitter
執筆形態 その他
掲載誌名 WEB AND WIRELESS GEOGRAPHICAL INFORMATION SYSTEMS (W2GIS 2015)
出版社・発行元 SPRINGER-VERLAG BERLIN
巻・号・頁 9080,pp.37-49
著者・共著者 Shoko Wakamiya,Lamia Belouaer,David Brosset,Ryong Lee,Yukiko Kawai,Kazutoshi Sumiya,Christophe Claramunt
概要 In this paper, we measure crowd mood and investigate its spatio-temporal distributions in a large-scale urban area through Twitter. In order to exploit tweets as a source to survey crowd mind, we propose two measurements which extract and categorize semantic terms from texts of tweets based on a dictionary of emotional terms. In particular, we focus on how to aggregate crowd mood quantitatively and qualitatively. n the experiment, the proposed methods are applied to a large tweets dataset collected for an urban area in Japan. From the daily tweets, we were able to observe interesting temporal changes in crowd's positive and negative moods and also identified major downtown areas where crowd's emotional tweets are intensively found. In this preliminary work, we confirme the diversity of urban areas in terms of crowd moods which are observed from the crowd-sourced lifelogs on Twitter.
DOI 10.1007/978-3-319-18251-3_3
ISSN 0302-9743
DBLP ID conf/w2gis/WakamiyaBBLKSC15
PermalinkURL http://dblp.uni-trier.de/db/conf/w2gis/w2gis2015.html#conf/w2gis/WakamiyaBBLKSC15