A study of emotional user comments analysis for bilibili.tv - Collections

＜conference paper＞
A study of emotional user comments analysis for bilibili.tv

Creator	Creator Name 呉, 沢臣 Wu, Zechen ゴ, ザワシン Affiliation Affiliation Name 九州大学システム情報科学研究府 Faculty of Information Science and Electrical Engineering
Creator	Author PID K000019 Creator Name 伊東, 栄典 Ito, Eisuke イトウ, エイスケ Affiliation Affiliation Name 九州大学情報基盤研究開発センター Research Institute for Information Science, Kyushu University
Language	Japanese
Publisher	人工知能学会
Publisher	The Japnaese Society for Artificial Intelligence
Date	2014-03-05
Source Title	人工知能学会 SIG-AM
Vol	6
First Page	16
Last Page	19
Publication Type	Accepted Manuscript
Access Rights	open access
Related DOI	http://must.c.u-tokyo.ac.jp/sigam/hiki.cgi
Related DOI	http://www.ai-gakkai.or.jp/
Related URI	http://must.c.u-tokyo.ac.jp/sigam/hiki.cgi
Related URI	http://www.ai-gakkai.or.jp/
Relation	http://must.c.u-tokyo.ac.jp/sigam/hiki.cgi
Relation	http://www.ai-gakkai.or.jp/
Abstract	On user generated contents sites, user’s comments include the user’s impression to the content. The authors believe that user’s comments can be used as the data mining resource to evaluate the content...s. In this paper, the authors focus on bilibili.tv, a Chinese video sharing site, and analyze user’s emotional comments on the site. They also show co-relation between comments and popularity such as number of replay and bookmark.show more

File	FileType	Size	Views	Description
sigam6-3	pdf	450 KB	2,306

Record ID	1430888
Peer-Reviewed	Unrefereed
Subject Terms	利用者投稿型コンテンツ
	User contribution type contents service
	ユーザー作成コンテンツ
	UGC
	動画
	video
	集合知
	視聴者コメント
	Audience comment
Notes	インタラクティブ情報アクセスと可視化マイニング(第6回) : 2014年3月15日東京大学駒場キャンパス
Notes	Interactive Information Access and Visual Mining
Created Date	2014.03.15
Modified Date	2018.12.18