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Paper Abstract and Keywords
Presentation 2006-09-15 13:30
Topic analysis of natural language documents based on decision tree algorithm
Yusuke Furuhata, Toshihiro Nishizono (Nihon Univ.) CQ2006-54 OIS2006-41 IE2006-56
Abstract (in Japanese) (See Japanese page) 
(in English) This paper attempts to extract specific document sets containing the same topic from masses of documents. The original documents are classified through a decision tree and the classification results are analyzed with the decision tree structure. Focusing on classification accuracy in each of decision tree leaves, the analysis yields several tens of specified nouns and pairs of nouns, of which existence identifies the class of each document. Then, topic identification ability of the nouns is ascertained using similarity and entropy of documents in each leaf. As a result, most of the nouns can specify document topics. The resulting topics are not sufficient for applying to new communication services. However, several parts of the decision tree can indicate efficient extraction of topic.
Keyword (in Japanese) (See Japanese page) 
(in English) Decision Tree / Document Classification / Communication Services / Text Mining / / / /  
Reference Info. IEICE Tech. Rep., vol. 106, Sept. 2006.
Paper #  
Date of Issue 2006-09-08 (CQ, OIS, IE) 
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 CQ2006-54 OIS2006-41 IE2006-56

Conference Information
Committee IE CQ LOIS ITE-ME IEE-CMN  
Conference Date 2006-09-14 - 2006-09-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2006-09-IE-CQ-OIS-ITE-ME-IEE-CMN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Topic analysis of natural language documents based on decision tree algorithm 
Sub Title (in English)  
Keyword(1) Decision Tree  
Keyword(2) Document Classification  
Keyword(3) Communication Services  
Keyword(4) Text Mining  
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1st Author's Name Yusuke Furuhata  
1st Author's Affiliation Nihon University Graduate School (Nihon Univ.)
2nd Author's Name Toshihiro Nishizono  
2nd Author's Affiliation Nihon University (Nihon Univ.)
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Speaker
Date Time 2006-09-15 13:30:00 
Presentation Time 25 
Registration for LOIS 
Paper # IEICE-CQ2006-54,IEICE-OIS2006-41,IEICE-IE2006-56 
Volume (vol) IEICE-106 
Number (no) no.240(CQ), no.242(OIS), no.244(IE) 
Page pp.23-28 
#Pages IEICE-6 
Date of Issue IEICE-CQ-2006-09-08,IEICE-OIS-2006-09-08,IEICE-IE-2006-09-08 


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