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Paper Abstract and Keywords
Presentation 2021-12-11 14:00
Visualization of Conversation Structures and Topic Distribution in Social Media for Understanding Discussion Cases
Kota Chiba (Fukushima Univ.), Hiroki Nakayama (Waseda Univ.), Ryo Oonuma (Tsuda Univ.), Hiroaki Kaminaga (Fukushima Univ.), Youzou Miyadera (Gakugei Univ.), Syouichi Nakamura (Fukushima Univ.) ET2021-36
Abstract (in Japanese) (See Japanese page) 
(in English) Opportunities to make discussion among small student group as a part of proactive and cooperative learning activities (e.g., PBL) have increased in educational institutions such as universities. Especially in recent years, social media has become one of the major discussion media. In this type of discussion, it is important for each participant to actively express his or her own ideas and exchange opinions. However, unskilled people are often unable to speak well because they lack experience in how to speak. This can be a major obstacle for unskilled people in proceed discussions, and they may not be able to gain enough experience such as how to speak. In order to solve this problem, it is necessary to incorporate the way others speak and their opinions from past cases. In this study, we aim to realize a support that provides an opportunity for unskilled people to have realistic discussion experiences by presenting case of past discussion on social media. In this paper, we mainly describe visualization of conversation structures and topic distribution in social media.
Keyword (in Japanese) (See Japanese page) 
(in English) Discussion Case / Discussion Structure / Social Media / Discussion Visualization / Discussion Support / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 294, ET2021-36, pp. 41-46, Dec. 2021.
Paper # ET2021-36 
Date of Issue 2021-12-04 (ET) 
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 ET2021-36

Conference Information
Committee ET  
Conference Date 2021-12-11 - 2021-12-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sessions for Young Researchers (Young Researcher Awards Selection), etc. 
Paper Information
Registration To ET 
Conference Code 2021-12-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Visualization of Conversation Structures and Topic Distribution in Social Media for Understanding Discussion Cases 
Sub Title (in English)  
Keyword(1) Discussion Case  
Keyword(2) Discussion Structure  
Keyword(3) Social Media  
Keyword(4) Discussion Visualization  
Keyword(5) Discussion Support  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kota Chiba  
1st Author's Affiliation Fukushima University (Fukushima Univ.)
2nd Author's Name Hiroki Nakayama  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Ryo Oonuma  
3rd Author's Affiliation Tsuda University (Tsuda Univ.)
4th Author's Name Hiroaki Kaminaga  
4th Author's Affiliation Fukushima University (Fukushima Univ.)
5th Author's Name Youzou Miyadera  
5th Author's Affiliation Tokyo Gakugei University (Gakugei Univ.)
6th Author's Name Syouichi Nakamura  
6th Author's Affiliation Fukushima University (Fukushima Univ.)
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Speaker Author-1 
Date Time 2021-12-11 14:00:00 
Presentation Time 20 minutes 
Registration for ET 
Paper # ET2021-36 
Volume (vol) vol.121 
Number (no) no.294 
Page pp.41-46 
#Pages 6 
Date of Issue 2021-12-04 (ET) 

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