[image 02327] 講演会 Prof. Dengel (3/30, Multimedia Sentiment Analysis)

Koichi Kise kise @ cs.osakafu-u.ac.jp
2017年 3月 10日 (金) 20:10:28 JST


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日時: 3/30, 14:50-15:40
場所: 大阪府立大学なかもずキャンパス
    B4棟 西K301 講義室

講師: Prof. Andreas Dengel (DFKI, Germany)
タイトル: Multimedia Sentiment Analysis
あらまし:
Among the vast amount of information available on the Web, social media  
streams capture “what” people currently pay attention to and “how” they  
feel about certain topics. This talk focuses on the challenge of opinion  
mining of multimedia content from the web based on machine (deep)  
learning. This comprises a large-scale multi-modal analysis of social  
media streams and their underlying network dynamics considering  
different media channels such as Twitter, YouTube, Flickr, Google, and  
Wikipedia. The main contribution is three-fold: First, social media data  
is analyzed utilizing information from structured data sources to detect  
and track trending topics. Second, the possibility of forecasting the  
progression of identified trending topics into the near future is  
investigated. And finally, third, large amounts of multimedia content,  
i.e. images and videos, are analyzed with respect to its sentiment. This  
follows a holistic approach i.e. the analysis of a rich set of different  
modalities such as textual, visual, audio, and tempo-visual content.

主催:大阪府立大学 文書解析・知識科学研究所(IDAKS)

-- 
Koichi Kise, Ph.D., Professor
Dept. of Computer Science and Intelligent Systems,
Graduate School of Engineering,
Osaka Prefecture University
1-1 Gakuencho, Naka, Sakai, Osaka 599-8531, Japan
Phone: +81-72-254-9276 FAX: +81-72-254-8291
E-mail: kise @ cs.osakafu-u.ac.jp, kise @ ieee.org,
         kise @ acm.org, kise @ computer.org
Web: http://imlab.jp/~kise/


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