|
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 |