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Paper Abstract and Keywords
Presentation 2011-10-10 13:25
Analysis of Bankruptcy Information using Clue Words
Sachio Hirokawa, Tetsuya Nakatoh (Kyushu Univ.) TL2011-26 NLC2011-23
Abstract (in Japanese) (See Japanese page) 
(in English) The extraction of the feature words from the search results is an important problem of the document interpretation and summarization. Those documents are determined by the users with the keywords according to their purpose of the analysis. In this paper proposes a method to guess the reason and feature words for the target companies of the analysis, which can be specified as the type of business or the reason. The method pays attention to the clue words describing the bankruptcy situation.
Keyword (in Japanese) (See Japanese page) 
(in English) Feature Words / Bankrupty Information / Text Mining / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 228, NLC2011-23, pp. 7-10, Oct. 2011.
Paper # NLC2011-23 
Date of Issue 2011-10-03 (TL, NLC) 
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 TL2011-26 NLC2011-23

Conference Information
Committee NLC TL  
Conference Date 2011-10-10 - 2011-10-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Bldg. of Graduate School NST Okayama Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Natural Language Understanding and Communication, etc. 
Paper Information
Registration To NLC 
Conference Code 2011-10-NLC-TL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Bankruptcy Information using Clue Words 
Sub Title (in English)  
Keyword(1) Feature Words  
Keyword(2) Bankrupty Information  
Keyword(3) Text Mining  
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1st Author's Name Sachio Hirokawa  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Tetsuya Nakatoh  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2011-10-10 13:25:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # TL2011-26, NLC2011-23 
Volume (vol) vol.111 
Number (no) no.227(TL), no.228(NLC) 
Page pp.7-10 
#Pages
Date of Issue 2011-10-03 (TL, NLC) 


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