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Paper Abstract and Keywords
Presentation 2014-09-11 10:50
Food text clustering by selecting the most representative word
Sosuke Amano, Kiyoharu Aizawa (Tokyo Univ.), Makoto Ogawa (foo.log) DE2014-29
Abstract (in Japanese) (See Japanese page) 
(in English) The development of information technology is enable us to collect the big data of food information. Effective ways of analyzing such food data are needed. In this paper, we propose a method that cluster meal names by selecting the most representative word of meal categories.
Keyword (in Japanese) (See Japanese page) 
(in English) Food log / Document clustering / short text / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 204, DE2014-29, pp. 37-40, Sept. 2014.
Paper # DE2014-29 
Date of Issue 2014-09-03 (DE) 
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 DE2014-29

Conference Information
Committee DE  
Conference Date 2014-09-10 - 2014-09-11 
Place (in Japanese) (See Japanese page) 
Place (in English) NII、12F Room1208, 1210 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Data Engineering and Food Media 
Paper Information
Registration To DE 
Conference Code 2014-09-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Food text clustering by selecting the most representative word 
Sub Title (in English)  
Keyword(1) Food log  
Keyword(2) Document clustering  
Keyword(3) short text  
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1st Author's Name Sosuke Amano  
1st Author's Affiliation The University of Tokyo (Tokyo Univ.)
2nd Author's Name Kiyoharu Aizawa  
2nd Author's Affiliation The University of Tokyo (Tokyo Univ.)
3rd Author's Name Makoto Ogawa  
3rd Author's Affiliation foo.log Inc. (foo.log)
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Speaker Author-1 
Date Time 2014-09-11 10:50:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2014-29 
Volume (vol) vol.114 
Number (no) no.204 
Page pp.37-40 
#Pages
Date of Issue 2014-09-03 (DE) 


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