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Paper Abstract and Keywords
Presentation 2014-02-06 14:10
Extraction of Hot Topics in Specific Area using Twitter Stream and its Visualization
Toshihiro Rokuse, Makoto Shimizu, Shinnosuke Furuhashi, Hiroki Takahata, Naoto Kondo, Tomoki Sato, Gaku Endo, Masafumi Watanabe, Osamu Uchida (Tokai Univ.) NLC2013-49
Abstract (in Japanese) (See Japanese page) 
(in English) In regional portal sites that are operated by local governments to provide information about such as sightseeing and disaster prevention, event invitation, disaster-related information, traffic information, etc. are posted. However, because most of this information is collected by human assistance manually, these portal sites cannot respond unofficial events and sudden and unexpected incidents and therefore real-time property is not generally high. The purpose of this study is to extract hot topics in specific areas using twitter stream. Moreover we implement an application to extract hot topics in the peripheral area of the user’s current location and provide it comprehensibly.
Keyword (in Japanese) (See Japanese page) 
(in English) Twitter / Text Mining / Visualization / User Interface / Keyword Extraction / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 429, NLC2013-49, pp. 11-14, Feb. 2014.
Paper # NLC2013-49 
Date of Issue 2014-01-30 (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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF NLC2013-49

Conference Information
Committee NLC  
Conference Date 2014-02-06 - 2014-02-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Campus Plaza Kyoto 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Forth Symposium on Text Mining 
Paper Information
Registration To NLC 
Conference Code 2014-02-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extraction of Hot Topics in Specific Area using Twitter Stream and its Visualization 
Sub Title (in English)  
Keyword(1) Twitter  
Keyword(2) Text Mining  
Keyword(3) Visualization  
Keyword(4) User Interface  
Keyword(5) Keyword Extraction  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Toshihiro Rokuse  
1st Author's Affiliation Tokai University (Tokai Univ.)
2nd Author's Name Makoto Shimizu  
2nd Author's Affiliation Tokai University (Tokai Univ.)
3rd Author's Name Shinnosuke Furuhashi  
3rd Author's Affiliation Tokai University (Tokai Univ.)
4th Author's Name Hiroki Takahata  
4th Author's Affiliation Tokai University (Tokai Univ.)
5th Author's Name Naoto Kondo  
5th Author's Affiliation Tokai University (Tokai Univ.)
6th Author's Name Tomoki Sato  
6th Author's Affiliation Tokai University (Tokai Univ.)
7th Author's Name Gaku Endo  
7th Author's Affiliation Tokai University (Tokai Univ.)
8th Author's Name Masafumi Watanabe  
8th Author's Affiliation Tokai University (Tokai Univ.)
9th Author's Name Osamu Uchida  
9th Author's Affiliation Tokai University (Tokai Univ.)
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Speaker Author-1 
Date Time 2014-02-06 14:10:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2013-49 
Volume (vol) vol.113 
Number (no) no.429 
Page pp.11-14 
#Pages
Date of Issue 2014-01-30 (NLC) 


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