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 |
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Conference Date | 2005/7/7(1days) |
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Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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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