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Paper Abstract and Keywords
Presentation 2007-05-25 09:00
Text Classification Method Based on Hierarchical Relations among Words
Katsuji Bessho, Toshio Uchiyama, Ryoji Kataoka (NTT) PRMU2007-15 MI2007-15
Abstract (in Japanese) (See Japanese page) 
(in English) Most of conventional text classification methods use symmetric measures such as cosine similarity or Euclidean metric of feature vectors derived from documents. This paper introduces to use Kullback-Leibler metric, which is non-symmetric, of the vectors for the text classification. We found that Kullback-Leibler metric instead of cosine similarity can reveal different aspect of association between words. Considering this property, this paper proposes the combined classification method which uses both cosine-Euclidean measure and KL metric. The experimental results showed that the proposed method improves classification accuracies of the method using only the cosine-Euclidean measure.
Keyword (in Japanese) (See Japanese page) 
(in English) Concept Vector / Kullback-Leibler Metric / Text Classification / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 57, PRMU2007-15, pp. 79-84, May 2007.
Paper # PRMU2007-15 
Date of Issue 2007-05-17 (PRMU, MI) 
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)
Download PDF PRMU2007-15 MI2007-15

Conference Information
Committee PRMU MI  
Conference Date 2007-05-24 - 2007-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Mie Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2007-05-PRMU-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Text Classification Method Based on Hierarchical Relations among Words 
Sub Title (in English)  
Keyword(1) Concept Vector  
Keyword(2) Kullback-Leibler Metric  
Keyword(3) Text Classification  
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1st Author's Name Katsuji Bessho  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Toshio Uchiyama  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Ryoji Kataoka  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2007-05-25 09:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2007-15, MI2007-15 
Volume (vol) vol.107 
Number (no) no.57(PRMU), no.58(MI) 
Page pp.79-84 
#Pages 6 
Date of Issue 2007-05-17 (PRMU, MI) 

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