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

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概要

• 論文の詳細を見る

• 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.

• 2010-08-20

著者

• 岩井原 瑞穂

  早稲田大学大学院情報生産システム研究科

• シュン コウ

  Graduate School of Information, Production and Systems, Waseda University

• 岩井原 瑞穂

  Graduate School of Information, Production and Systems, Waseda University

• シュン コウ

  Graduate School Of Information Production And Systems Waseda University

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