| Presentation | 2004/10/12 ext Classification Based on Ensemble Learning of Document Component Models Akinori FUJINO, Naonori UEDA, Kazumi SAITO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | For multiclass text classificatin, we propose a new method that considers document components including title, abstract, main content, references, and links. First, a naive Bayes classifier is designed for each document component, in which smoothing parameters are optimally trained by leave-one-out cross validation scheme to boost the generalization performace. Then, based on the maximum entropy principle, a unified classifier is constracted by combined effectively these component classifiers. Through text classification experiments using three sets of real data, we have confirmed the usefulness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | text classification / ensemble learning / naive Bayes model / maximum entropy principle |
| Paper # | NC2004-80 |
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| Committee | NC |
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| Conference Date | 2004/10/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | ext Classification Based on Ensemble Learning of Document Component Models |
| Sub Title (in English) | |
| Keyword(1) | text classification |
| Keyword(2) | ensemble learning |
| Keyword(3) | naive Bayes model |
| Keyword(4) | maximum entropy principle |
| 1st Author's Name | Akinori FUJINO |
| 1st Author's Affiliation | NTT Communication Science Laboratories, NTT Corporation() |
| 2nd Author's Name | Naonori UEDA |
| 2nd Author's Affiliation | NTT Communication Science Laboratories, NTT Corporation |
| 3rd Author's Name | Kazumi SAITO |
| 3rd Author's Affiliation | NTT Communication Science Laboratories, NTT Corporation |
| Date | 2004/10/12 |
| Paper # | NC2004-80 |
| Volume (vol) | vol.104 |
| Number (no) | 349 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |