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Paper Abstract and Keywords
Presentation 2018-06-26 09:25
A consideration on the possibility of automatic classifying for anomalous posts on Twitter
Ryutaro Ushigome (NICT/Chuo Univ), Takeshi Matsuda (Univ of Nagasaki), Michio Sonoda, Takeshi Takahashi, Mio Suzuki (NICT), Jinhui Chao (Chuo Univ) IA2018-9 ICSS2018-9
Abstract (in Japanese) (See Japanese page) 
(in English) A lot of information has been posted on the SNS, including not only erroneous information and inappropriate writing, but also writing by machine etc. Techniques for detecting and discovering inappropriate postings in SNS have been studied in the past, but it is not easy to automate this and it is a social problem as well. In this paper, unsupervised learning is conducted on data collected from Twitter, one of SNS. Then the result is analyzed to examine whether posts including misinformation or mechanical postings can be classified.
Keyword (in Japanese) (See Japanese page) 
(in English) SNS / Twitter / K-means / unsupervised machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 109, ICSS2018-9, pp. 55-60, June 2018.
Paper # ICSS2018-9 
Date of Issue 2018-06-18 (IA, ICSS) 
ISSN 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 IA2018-9 ICSS2018-9

Conference Information
Committee ICSS IA  
Conference Date 2018-06-25 - 2018-06-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Ehime University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Security, etc. 
Paper Information
Registration To ICSS 
Conference Code 2018-06-ICSS-IA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A consideration on the possibility of automatic classifying for anomalous posts on Twitter 
Sub Title (in English)  
Keyword(1) SNS  
Keyword(2) Twitter  
Keyword(3) K-means  
Keyword(4) unsupervised machine learning  
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1st Author's Name Ryutaro Ushigome  
1st Author's Affiliation National Institute of Information and Communication Technology/Chuo University (NICT/Chuo Univ)
2nd Author's Name Takeshi Matsuda  
2nd Author's Affiliation University of Nagasaki (Univ of Nagasaki)
3rd Author's Name Michio Sonoda  
3rd Author's Affiliation National Institute of Information and Communication Technology (NICT)
4th Author's Name Takeshi Takahashi  
4th Author's Affiliation National Institute of Information and Communication Technology (NICT)
5th Author's Name Mio Suzuki  
5th Author's Affiliation National Institute of Information and Communication Technology (NICT)
6th Author's Name Jinhui Chao  
6th Author's Affiliation Chuo University (Chuo Univ)
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Speaker Author-1 
Date Time 2018-06-26 09:25:00 
Presentation Time 25 minutes 
Registration for ICSS 
Paper # IA2018-9, ICSS2018-9 
Volume (vol) vol.118 
Number (no) no.108(IA), no.109(ICSS) 
Page pp.55-60 
#Pages 6 
Date of Issue 2018-06-18 (IA, ICSS) 

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