| Presentation | 2002/7/9 A method for generating microscopic clusters of text-based documents Akiko AIZAWA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Grouping documents with strong associations into small sizes of clusters could be an effective way to improve the performance and the visibility of text-based retrieval systems. In this paper, we investigate the feasibility of one of such microscopic clustering methods: the proposed method detects strings that are 'recycled' in a given document collection to identify documents dealing with the same topic and also originating from the same information source. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | recycled strings / mutual information / document clustering / suffix-tree |
| Paper # | NLC2002-26 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2002/7/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A method for generating microscopic clusters of text-based documents |
| Sub Title (in English) | |
| Keyword(1) | recycled strings |
| Keyword(2) | mutual information |
| Keyword(3) | document clustering |
| Keyword(4) | suffix-tree |
| 1st Author's Name | Akiko AIZAWA |
| 1st Author's Affiliation | National Institute of Informatics() |
| Date | 2002/7/9 |
| Paper # | NLC2002-26 |
| Volume (vol) | vol.102 |
| Number (no) | 200 |
| Page | pp.pp.- |
| #Pages | 7 |
| Date of Issue | |