Presentation 2005-07-14
Utilizing Multimedia News Archive by Extracting Focused Points from News Articles
Yoshitomo YOSHIOKA, Takayuki YUMOTO, Katsumi TANAKA,
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Abstract(in English) In present day, we can get enormous numbers of news articles on the Web and through TV. When news articles are stored in multimedia news archive, and the relationships of the articles and focused points of news distributors are extracted, user can use news data more effectively. In this study, we propose a way of extracting focused points of news distributors from news articles, and building an overall feature about each topic. The focused point consists of "a theme of topic", "the aspect of topic", and "the element of aspect". They are extracted from each news article. An overall feature is built by integrating focused points. By showing a overall feature and focused points about a topic, users can see the topic from various viewpoints.
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Paper # DE2005-85
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Committee DE
Conference Date 2005/7/7(1days)
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Registration To Data Engineering (DE)
Language JPN
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Title (in English) Utilizing Multimedia News Archive by Extracting Focused Points from News Articles
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1st Author's Name Yoshitomo YOSHIOKA
1st Author's Affiliation Department of Social Informatics, Kyoto University()
2nd Author's Name Takayuki YUMOTO
2nd Author's Affiliation Department of Social Informatics, Kyoto University
3rd Author's Name Katsumi TANAKA
3rd Author's Affiliation Department of Social Informatics, Kyoto University
Date 2005-07-14
Paper # DE2005-85
Volume (vol) vol.105
Number (no) 172
Page pp.pp.-
#Pages 6
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