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Paper Abstract and Keywords
Presentation 2023-03-15 14:25
Methods for Visualizing Discussions in Comments against Web News Considering Understanding Opinion Trends and Discussion Points
Hiroki Wakabayashi (Fukushima Univ.), Hiroki Nakayama (Yamagata Univ.), Ryo Onuma (Tsuda Univ.), Hiroaki Kaminaga (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.) ET2022-89
Abstract (in Japanese) (See Japanese page) 
(in English) Opportunities for conducting discussions and expressing opinions on the Web have continuously increased. It is desirable to fully understand not only discussion results but also the discussion processes in order to successfully understand this type of discussion. Especially, it is important to understand both the main points of discussion and opinion trends together rather than superficial discussion results. However, such understanding is often difficult since the number of utterances increases as time passes and discussions become complicated. In this research, we aim to develop methods of visualizing discussions in comments against Web news for comprehensive grasp of the main points of discussion and opinion trends. In this paper, we mainly describe methods for generating discussion summaries and outline the support system. We also discuss the features of our methods based on the results of experiments using the prototype.
Keyword (in Japanese) (See Japanese page) 
(in English) Opinion Trend / Discussion Structure / LDA / Discussion Summary / Web News / Discussion Visualization / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 431, ET2022-89, pp. 184-188, March 2023.
Paper # ET2022-89 
Date of Issue 2023-03-07 (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 ET2022-89

Conference Information
Committee ET  
Conference Date 2023-03-14 - 2023-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokushima University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) AI Education Design, etc. 
Paper Information
Registration To ET 
Conference Code 2023-03-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Methods for Visualizing Discussions in Comments against Web News Considering Understanding Opinion Trends and Discussion Points 
Sub Title (in English)  
Keyword(1) Opinion Trend  
Keyword(2) Discussion Structure  
Keyword(3) LDA  
Keyword(4) Discussion Summary  
Keyword(5) Web News  
Keyword(6) Discussion Visualization  
Keyword(7)  
Keyword(8)  
1st Author's Name Hiroki Wakabayashi  
1st Author's Affiliation Fukushima University (Fukushima Univ.)
2nd Author's Name Hiroki Nakayama  
2nd Author's Affiliation Yamagata University (Yamagata Univ.)
3rd Author's Name Ryo Onuma  
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 (Tokyo Gakugei Univ.)
6th Author's Name Shoichi Nakamura  
6th Author's Affiliation Fukushima University (Fukushima Univ.)
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Speaker Author-1 
Date Time 2023-03-15 14:25:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2022-89 
Volume (vol) vol.122 
Number (no) no.431 
Page pp.184-188 
#Pages
Date of Issue 2023-03-07 (ET) 


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