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Paper Abstract and Keywords
Presentation 2011-08-05 13:30
Text data mining of News about aftosa Panic
Muneo Kushima, Noah Morris (Sadowara HS), Kenji Araki, Muneou Suzuki (Uni. of Miyazaki) TL2011-9
Abstract (in Japanese) (See Japanese page) 
(in English) In the present study, articles relating to the aftosa panic were chosen among four newspapers printed within Japan. Specific articles that contained the KeyGraph, “aftosa”, were selected and information regarding aftosa-related complications was analyzed qualitatively. Sentences were analyzed into morphemes, and the relations between characeristic vocabularies were analyzed by using a textual data mining technique (KeyGraph). Visualization of this information was attempted through text data mining with KeyGraph analysis. Analyzing newspapers by text data mining with KeyGraph can comprehend information qualitatively and visualize it. The result was a qualitative analysis of the aftosa panic using a textual data mining technique and the initial goal was achieved: a visual record of this information.
Keyword (in Japanese) (See Japanese page) 
(in English) Text data mining / KeyGraph / Aftosa / Newspaper / Co-occurence analysis network visualization / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 170, TL2011-9, pp. 7-12, Aug. 2011.
Paper # TL2011-9 
Date of Issue 2011-07-29 (TL) 
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 TL2011-9

Conference Information
Committee TL  
Conference Date 2011-08-05 - 2011-08-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Human Language Processing and Learning 
Paper Information
Registration To TL 
Conference Code 2011-08-TL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Text data mining of News about aftosa Panic 
Sub Title (in English)  
Keyword(1) Text data mining  
Keyword(2) KeyGraph  
Keyword(3) Aftosa  
Keyword(4) Newspaper  
Keyword(5) Co-occurence analysis network visualization  
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Keyword(7)  
Keyword(8)  
1st Author's Name Muneo Kushima  
1st Author's Affiliation Sadowara high school (Sadowara HS)
2nd Author's Name Noah Morris  
2nd Author's Affiliation Sadowara high school (Sadowara HS)
3rd Author's Name Kenji Araki  
3rd Author's Affiliation University of Miyazaki (Uni. of Miyazaki)
4th Author's Name Muneou Suzuki  
4th Author's Affiliation University of Miyazaki (Uni. of Miyazaki)
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Speaker Author-1 
Date Time 2011-08-05 13:30:00 
Presentation Time 30 minutes 
Registration for TL 
Paper # TL2011-9 
Volume (vol) vol.111 
Number (no) no.170 
Page pp.7-12 
#Pages
Date of Issue 2011-07-29 (TL) 


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