| Presentation | 1999/7/22 Text Categorization using Support Vector Machine HIROYUKI YADA, KUNIAKI UEHARA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we will propose the method to categorize the text data by using Support Vector Machine (SVM). In order to improve recall and precision of categorization, we will also propose 3 methods: modification of training set, selection of indexes and completion of attribute value using Bayesian network. The result of recognition is used as the case base of textual CBR. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | DE99-39 |
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| Committee | DE |
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| Conference Date | 1999/7/22(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (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) | Text Categorization using Support Vector Machine |
| Sub Title (in English) | |
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| 1st Author's Name | HIROYUKI YADA |
| 1st Author's Affiliation | Graduate School of Science and Technology, Kobe University() |
| 2nd Author's Name | KUNIAKI UEHARA |
| 2nd Author's Affiliation | Research Center for Urban Safety and Security, Kobe University |
| Date | 1999/7/22 |
| Paper # | DE99-39 |
| Volume (vol) | vol.99 |
| Number (no) | 202 |
| Page | pp.pp.- |
| #Pages | 6 |
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