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Paper Abstract and Keywords
Presentation 2021-09-16 15:50
Early detection of false information on Twitter by deep learning with sequential data of user and text
Kohei Suto, Jianwei Zhang (Iwate Univ.) NLC2021-14
Abstract (in Japanese) (See Japanese page) 
(in English) The spread of false information has become a problem in the development of SNS in recent years. False information may have an adverse effect on the world in terms of politics, economy, disasters, etc. However, it is difficult to detect quickly by hand, and thus the development of technology for automatic early detection is required. In this research, we propose a method for early detection of false information by deep learning using features extracted by using RNN and CNN from tweet users and tweet texts, while considering the time series of tweets for Twitter. As a result of comparing only the user features and the text features in addition to the user features, it is found that the performance of the model can be improved by adding the text features.
Keyword (in Japanese) (See Japanese page) 
(in English) Twitter / sequential data / machine learning / false information / early detection / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 178, NLC2021-14, pp. 34-39, Sept. 2021.
Paper # NLC2021-14 
Date of Issue 2021-09-09 (NLC) 
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 NLC2021-14

Conference Information
Committee NLC  
Conference Date 2021-09-16 - 2021-09-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 18th Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2021-09-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Early detection of false information on Twitter by deep learning with sequential data of user and text 
Sub Title (in English)  
Keyword(1) Twitter  
Keyword(2) sequential data  
Keyword(3) machine learning  
Keyword(4) false information  
Keyword(5) early detection  
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1st Author's Name Kohei Suto  
1st Author's Affiliation Iwate University (Iwate Univ.)
2nd Author's Name Jianwei Zhang  
2nd Author's Affiliation Iwate University (Iwate Univ.)
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Speaker Author-1 
Date Time 2021-09-16 15:50:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2021-14 
Volume (vol) vol.121 
Number (no) no.178 
Page pp.34-39 
#Pages 6 
Date of Issue 2021-09-09 (NLC) 

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