Trendspotter detection system for twitter

Wataru Shirakihara, Tetsuya Oishi, Ryuzo Hasegawa, Hiroshi Hujita, Miyuki Koshimura

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抜粋

It is too difficult for us to find out trends with search engines. Twitter, a popular microblogging tool, has seen a lot of growth since it launched in October, 2006. Information about the trends is posted by many twitterers. If we find out trendspotters from twitterers, and follow them, we can get it more easily. Our trendspotter detection system uses the burst detection algorithm, and we verified its effectiveness for Twitter's posts. We succeeded in detecting the 24 trendspotters by 5277 users.

元の言語英語
ホスト出版物のタイトルICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence
ページ625-628
ページ数4
出版物ステータス出版済み - 7 14 2011
イベント3rd International Conference on Agents and Artificial Intelligence, ICAART 2011 - Rome, イタリア
継続期間: 1 28 20111 30 2011

出版物シリーズ

名前ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence
1

その他

その他3rd International Conference on Agents and Artificial Intelligence, ICAART 2011
イタリア
Rome
期間1/28/111/30/11

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

フィンガープリント Trendspotter detection system for twitter' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Shirakihara, W., Oishi, T., Hasegawa, R., Hujita, H., & Koshimura, M. (2011). Trendspotter detection system for twitter. : ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (pp. 625-628). (ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence; 巻数 1).