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Paper Abstract and Keywords
Presentation 2019-06-21 15:15
Examination of Trend Extraction Method Focusing on Twitter Emotional polarity
Yuka Takei, Taro Miyazaki, Jun Goto (NHK) NLC2019-4
Abstract (in Japanese) (See Japanese page) 
(in English) Acquiring information about trend topics from social media can be useful for broadcasters to make TV program. In order to find trend Tweets and topics efficiently, broadcasters refer to the number of reactions such as “Retweet”. However, Tweets that have a large number of reactions are frequently posted about popular games and campaigns of enterprises. These Tweets are unnecessary to make programs. In this paper, we present a trend extraction method that focus on emotional polarity of Tweet as well as the number of reactions. Because emotional reactions on SNS reflect the occurring of real-world events and should be important for event detection. As a result of evaluation based on information shared in the broadcasting station, we confirm our method that focus on changes in the proportion of emotional polarity can extract Tweet that useful for broadcasters.
Keyword (in Japanese) (See Japanese page) 
(in English) Twitter / Sentiment Analysis / Natural Language Processing / Trend Detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 98, NLC2019-4, pp. 23-28, June 2019.
Paper # NLC2019-4 
Date of Issue 2019-06-14 (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 NLC2019-4

Conference Information
Committee NLC IPSJ-ICS  
Conference Date 2019-06-21 - 2019-06-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima University of Economics (Tatemachi Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Application of natural language processing and intelligent systems, and general topic of NLP 
Paper Information
Registration To NLC 
Conference Code 2019-06-NLC-ICS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Examination of Trend Extraction Method Focusing on Twitter Emotional polarity 
Sub Title (in English)  
Keyword(1) Twitter  
Keyword(2) Sentiment Analysis  
Keyword(3) Natural Language Processing  
Keyword(4) Trend Detection  
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Keyword(6)  
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1st Author's Name Yuka Takei  
1st Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
2nd Author's Name Taro Miyazaki  
2nd Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
3rd Author's Name Jun Goto  
3rd Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
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Speaker Author-1 
Date Time 2019-06-21 15:15:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2019-4 
Volume (vol) vol.119 
Number (no) no.98 
Page pp.23-28 
#Pages 6 
Date of Issue 2019-06-14 (NLC) 

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