D-045 Real-Time Support Rate Estimation Based on Social Sensors

• Item type: FIT(1)
• 公開日: 2010-08-20
• タイトル / 言語: en
• タイトル: D-045 Real-Time Support Rate Estimation Based on Social Sensors
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_5794
• 資源タイプ: conference paper
• 著者所属(英): en
• 著者所属(英): Graduate School of Information, Production and Systems, Waseda University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information, Production and Systems, Waseda University
• 著者名: シュン, コウ; 岩井原, 瑞穂
• 著者名(英): Jun, Huang; Iwaihara, Mizuho
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: This paper attempts to propose estimation of real-time support rate based on social sensors. Nowadays, micro blog like Twitter has gained wide popularity and therefore received much attention academically. Personal opinions are posted online by Twitter users frequently, especially when big events with worldwide concern occur. In the case that follows, each Twitter user is treated as a sensor and therefore collectively, the global Twitter users are referred to as Social Sensors. Drawing on one soccer game, we collect a large amount of tweets and carry out analysis so as to extract sentiment information of the audience and show the real-time support rate of the two teams.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA1242354X
• 書誌情報: 情報科学技術フォーラム講演論文集; 巻 9, 号 2, p. 191-192, 発行日 2010-08-20
• 出版者 / 言語: ja
• 出版者: 情報処理学会