| Presentation | 2014-08-01 トピックモデルに基づくニュースストリームのオンライン分類(ビッグデータを対象とした管理・情報検索・知識獲得及び一般) Masato SHIRAI, Takao MIURA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this investigation, we propose online classification method of news stream using online topic model. In news stream, feature of class changes dynamically. It is necessary to change the classification criterion adaptively. In addition, stream data, such as news articles, occurrence frequency of theme are influenced by burst of themes. To classify news stream, we consider both stationary distribution and transit distribution in each class. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | news stream / topic model / online classification |
| Paper # | DE2014-22 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2014/7/25(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | |
| Sub Title (in English) | |
| Keyword(1) | news stream |
| Keyword(2) | topic model |
| Keyword(3) | online classification |
| 1st Author's Name | Masato SHIRAI |
| 1st Author's Affiliation | Dept.of Elect. & Elect. Engr., HOSEI University() |
| 2nd Author's Name | Takao MIURA |
| 2nd Author's Affiliation | Dept.of Elect. & Elect. Engr., HOSEI University |
| Date | 2014-08-01 |
| Paper # | DE2014-22 |
| Volume (vol) | vol.114 |
| Number (no) | 173 |
| Page | pp.pp.- |
| #Pages | 6 |
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