Presentation | 2010-11-19 A Note on Documents Classification using PLSI Gendo KUMOI, Takashi ISHIDA, Masayuki GOTO, Shigeichi HIRASAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, with increasing electric documents, effective knowledge acquisition become important issue method. Document classification is one of the techniques. In this paper, we use Probabilistic Latent Semantic Indexing (PLSI) as document classification technique. The characteristics of PLSI is dealtwith handle multi-category and lead solution with using EM algorithm. We propose a method that can classify a small amount of training data using the EM algorithm. We apply this method into WEB page and show its effectiveness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | PLSI / Document classification / EM algorithm |
Paper # | AI2010-33 |
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Committee | AI |
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Conference Date | 2010/11/12(1days) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Note on Documents Classification using PLSI |
Sub Title (in English) | |
Keyword(1) | PLSI |
Keyword(2) | Document classification |
Keyword(3) | EM algorithm |
1st Author's Name | Gendo KUMOI |
1st Author's Affiliation | Waseda Research Institute for Science and Engineering() |
2nd Author's Name | Takashi ISHIDA |
2nd Author's Affiliation | Media Network Center, Waseda University |
3rd Author's Name | Masayuki GOTO |
3rd Author's Affiliation | Faculty of Science and Engineering, Waseda University |
4th Author's Name | Shigeichi HIRASAWA |
4th Author's Affiliation | Faculty of Information Technology and Business, Cyber University:Waseda Research Institute for Science and Engineering |
Date | 2010-11-19 |
Paper # | AI2010-33 |
Volume (vol) | vol.110 |
Number (no) | 301 |
Page | pp.pp.- |
#Pages | 6 |
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