Paper Abstract and Keywords |
Presentation |
2007-05-19 14:30
Keywords analysis on Bulliten board using multivariate logistic latent analysis Maomi Ueno, Toshio Okamoto (UEC) ET2007-3 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This study proposes (1) A new definition of the kewords weights in the morphological analysis of the discussion in the electro bullitein
board and it's application to the automatic keywords extraction system,
and (2) Visualization method of the keywords characteristics and the contributers characteristics using
the multivariate latent logistic model. The advantages of the proposed method are 1. the estimators have the asymptotic consistency using
the maximum likelihood method or Bayesian estimation method, 2. The method can decide the optimum
number of the parameters using the information criteria as like MDL, 3. It is easy to define the keywords weights, they can be
applied to the keywords analysis and abstraction system, 4. the multivariate latent logistic model is easy to calculate the huge data,
and 5. the multivariate latent logistic model provides good approximation of the Bayesian network model which is well known good prediction model.
This study implemented the proposed functions into the electro bullitein board and show the effectiviness. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Text Mining / Keywords Analysis / the multivariate latent logistic model / visualization system / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 48, ET2007-3, pp. 11-16, May 2007. |
Paper # |
ET2007-3 |
Date of Issue |
2007-05-12 (ET) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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ET2007-3 |
Conference Information |
Committee |
ET |
Conference Date |
2007-05-19 - 2007-05-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Univ. of Electro-commnications |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
【キーワード:eLearning,学習オブジェクト,メタデータ,コースウェア開発,LMS,CMS,標準化技術,学習コンテンツ,マルチメディア,VR,UI,CSCL,WWW,人工知能技術,認知モデル】 |
Paper Information |
Registration To |
ET |
Conference Code |
2007-05-ET |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Keywords analysis on Bulliten board using multivariate logistic latent analysis |
Sub Title (in English) |
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Keyword(1) |
Text Mining |
Keyword(2) |
Keywords Analysis |
Keyword(3) |
the multivariate latent logistic model |
Keyword(4) |
visualization system |
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Keyword(6) |
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1st Author's Name |
Maomi Ueno |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Toshio Okamoto |
2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2007-05-19 14:30:00 |
Presentation Time |
30 minutes |
Registration for |
ET |
Paper # |
ET2007-3 |
Volume (vol) |
vol.107 |
Number (no) |
no.48 |
Page |
pp.11-16 |
#Pages |
6 |
Date of Issue |
2007-05-12 (ET) |
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