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Paper Abstract and Keywords
Presentation 2013-03-07 11:15
Extraction of Similar Words Based on Adaptation and Time-correlation of Maximal Substrings from Tweets of The Same Topic
Yuichiro Hisano, Kazuhito Sawase, Hajime Nobuhara (Univ. of Tsukuba) SIS2012-49
Abstract (in Japanese) (See Japanese page) 
(in English) In order to merge various onomastic expressions for valuable tweet topic retrieval/clustering, a construction method of twitter dictionaries based on lexical extraction and their time-correlation is proposed. In this paper, we propose Maximal substrings to extract efficient lexical set and adaptation to remove superfluous substrings. Moreover, similarities between keywords are calculated by the time-correlation of each word and co-occurrence probability. Through experiments with 101,714/354,706 tweets with the hashtags related to “NHK Kohaku-Utagassen” in 2011/2012, the effectiveness of the proposed method compared with the method used morphological analysis is shown.
Keyword (in Japanese) (See Japanese page) 
(in English) Microblog / Retrieval support / Time-correlation / Maximal substring / Adaptation / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 465, SIS2012-49, pp. 21-26, March 2013.
Paper # SIS2012-49 
Date of Issue 2013-02-28 (SIS) 
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)
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Conference Information
Committee SIS  
Conference Date 2013-03-07 - 2013-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Create Hamamatsu 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIS 
Conference Code 2013-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extraction of Similar Words Based on Adaptation and Time-correlation of Maximal Substrings from Tweets of The Same Topic 
Sub Title (in English)  
Keyword(1) Microblog  
Keyword(2) Retrieval support  
Keyword(3) Time-correlation  
Keyword(4) Maximal substring  
Keyword(5) Adaptation  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuichiro Hisano  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Kazuhito Sawase  
2nd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
3rd Author's Name Hajime Nobuhara  
3rd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2013-03-07 11:15:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2012-49 
Volume (vol) vol.112 
Number (no) no.465 
Page pp.21-26 
#Pages 6 
Date of Issue 2013-02-28 (SIS) 

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