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Paper Abstract and Keywords
Presentation 2024-02-29 10:10
A Study on Detection of Flaming in SNS Video using Sentiment Analysis and Principal Component Analysis
Tomonori Taniguchi, Hiroyasu Obata, Chisa Takano (Hiroshima City Univ.) IN2023-79
Abstract (in Japanese) (See Japanese page) 
(in English) In resent years, with the spread of Social Networking Service (SNS), a phenomenon called flaming in which many slander comments occur in SNS, has become a social problem. Video sharing services such as YouTube have quite a lot of users. However, there are few studies that analyze flaming focusing on users' emotions that appeared in the comments of social media videos.
Therefore, this study proposes a method for analyzing flaming in YouTube videos using a combination of sentiment analysis and principal component analysis with comment data from YouTube videos. Using the proposal analysis method, we analyzed comment data of controversial videos and non-controversial videos on YouTube. This study confirmed the characteristic of controversial videos, which are flooded with comments containing negative emotions, and the rate of decrement in comments is slower compared to non-controversial videos. In addition, we found that there are many sarcastic comments in controversial videos, such comments tend to receive more likes, and potentially become as the trigger for further flaming.
Keyword (in Japanese) (See Japanese page) 
(in English) SNS / Flaming / Sentiment analysis / Principal component analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 398, IN2023-79, pp. 83-88, Feb. 2024.
Paper # IN2023-79 
Date of Issue 2024-02-22 (IN) 
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 IN2023-79

Conference Information
Committee NS IN  
Conference Date 2024-02-29 - 2024-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2024-02-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Detection of Flaming in SNS Video using Sentiment Analysis and Principal Component Analysis 
Sub Title (in English)  
Keyword(1) SNS  
Keyword(2) Flaming  
Keyword(3) Sentiment analysis  
Keyword(4) Principal component analysis  
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1st Author's Name Tomonori Taniguchi  
1st Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
2nd Author's Name Hiroyasu Obata  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Chisa Takano  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Speaker Author-1 
Date Time 2024-02-29 10:10:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2023-79 
Volume (vol) vol.123 
Number (no) no.398 
Page pp.83-88 
#Pages 6 
Date of Issue 2024-02-22 (IN) 

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