講演抄録/キーワード |
講演名 |
2013-03-07 16:40
What Does the Chirping Tell Us? Summarizing People's Opinion on Ongoing Events Using Tweets ○Khan Muhammad Asif Hossain・Guangwen Liu・Masayuki Iwai・Kaoru Sezaki(Univ. of Tokyo) LOIS2012-87 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
The growth and increasing spatial resolution of Twitter has made it a promising network for assessing people’s opinion regarding ongoing events in firsthand. However, while the richness of information content in Twitter is a boon for opinion miners, the huge traffic largely composed of insignificant chatter is a bane for them. In this paper, we propose a set of algorithms for filtering out tweets relevant to any ongoing event, which can serve as a real-time summary about people’s opinion regarding the event. Evaluation conducted on a real-world dataset shows that the proposed model could achieve impressive precision and recall in summarizing tweets regarding the target event. |
キーワード |
(和) |
/ / / / / / / |
(英) |
Microblog analysis / Social network analysis / Opinion mining / Short text analysis / / / / |
文献情報 |
信学技報, vol. 112, no. 466, LOIS2012-87, pp. 107-112, 2013年3月. |
資料番号 |
LOIS2012-87 |
発行日 |
2013-02-28 (LOIS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
LOIS2012-87 |