Presentation | 2004/7/7 A Topic Structute Graph Approach for Discovering Topic Changes of News Articles Hidetoshi HAYASHI, Taro TEZUKA, Satoshi OYAMA, Katsumi TANAKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In order to extract topic changes of news themes from a set of news articles, relationships between articles are analyzed from both quantitative and qualitative aspects, based on Topic Structure Graph. First, the quantitative analysis proves that similarity calculation at the level of Topic Structure Graph can express the strength of relationships between the articles more precisely than similarity calculation at the level of keywords. Second, the qualitative analysis categorizes the common keywords between the articles based on node degree and gives the sense of relations between the articles. Finally, based on these results, we proposed a method of extracting word-centric topic changes of news themes. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Topic Structure Graph / Data Mining / Time-series Data |
Paper # | DE2004-50 |
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Committee | DE |
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Conference Date | 2004/7/7(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | A Topic Structute Graph Approach for Discovering Topic Changes of News Articles |
Sub Title (in English) | |
Keyword(1) | Topic Structure Graph |
Keyword(2) | Data Mining |
Keyword(3) | Time-series Data |
1st Author's Name | Hidetoshi HAYASHI |
1st Author's Affiliation | Department of Social Infomatics, Kyoto University() |
2nd Author's Name | Taro TEZUKA |
2nd Author's Affiliation | Department of Social Infomatics, Kyoto University |
3rd Author's Name | Satoshi OYAMA |
3rd Author's Affiliation | Department of Social Infomatics, Kyoto University |
4th Author's Name | Katsumi TANAKA |
4th Author's Affiliation | Department of Social Infomatics, Kyoto University |
Date | 2004/7/7 |
Paper # | DE2004-50 |
Volume (vol) | vol.104 |
Number (no) | 177 |
Page | pp.pp.- |
#Pages | 6 |
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