Presentation | 2006-07-27 Possibilities of the Bipartite Graph Clustering in Text Analysis Hiroyuki AKAMA, Maki MIYAKE, Jaeyoung JUNG, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the fields of text analysis, results of Markov Clustering and Recurrent Markov Clustering applied to a bi-partite graph made of pairs between key words and co-occurring words would be useful to be compared with those of multivariate analysis. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | MCL / RMCL / Bipartite Graph / Multivariate Analysis |
Paper # | NLC2006-4 |
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Conference Information | |
Committee | NLC |
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Conference Date | 2006/7/20(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 | 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) | Possibilities of the Bipartite Graph Clustering in Text Analysis |
Sub Title (in English) | |
Keyword(1) | MCL |
Keyword(2) | RMCL |
Keyword(3) | Bipartite Graph |
Keyword(4) | Multivariate Analysis |
1st Author's Name | Hiroyuki AKAMA |
1st Author's Affiliation | Graduate School of Decision Science and Technology, Tokyo Institute of Technology() |
2nd Author's Name | Maki MIYAKE |
2nd Author's Affiliation | Graduate School of Decision Science and Technology, Tokyo Institute of Technology |
3rd Author's Name | Jaeyoung JUNG |
3rd Author's Affiliation | Graduate School of Decision Science and Technology, Tokyo Institute of Technology |
Date | 2006-07-27 |
Paper # | NLC2006-4 |
Volume (vol) | vol.106 |
Number (no) | 190 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |