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Paper Abstract and Keywords
Presentation 2014-06-14 14:45
Automatically-Generated Dictionary-based Emotion Recognition from Tweet Speech
Eri Yanase, Hiromitsu Nishizaki, Yoshihiro Sekiguchi (Univ. of Yamanashi) NLC2014-4
Abstract (in Japanese) (See Japanese page) 
(in English) We make a study of utilization of linguistic information for classification of emotion in spoken utterances. In Japanese, there are a few researches on emotion recognition using linguistic features extracted from a spoken utterance. This paper describes an emotion recognition method that is based on an automatic construction of an emotional words/phrases dictionary from Twitter and an emotion recognition experiment using the dictionary. The dictionary is made by collecting so many tweets from Twitter, and the extracted words/phrases are registered to the dictionary. For an emotion recognition experiment, we prepared two types of test data; text tweets and spoken tweets. For the spoken tweets, we try two types of emotional words/phrases extraction methods; one is to use an automatic speech recognizer and the other is to use a spoken term detection technique. The experimental result showed that the emotion recognition accuracy was about 40% for the text tweets, and the accuracy for the spoken tweets was slightly lower than the one of the text tweets.
Keyword (in Japanese) (See Japanese page) 
(in English) Emotion recognition / linguistic information / speech recognition / spoken term detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 81, NLC2014-4, pp. 17-22, June 2014.
Paper # NLC2014-4 
Date of Issue 2014-06-07 (NLC) 
ISSN Print edition: ISSN 0913-5685    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 NLC2014-4

Conference Information
Committee NLC  
Conference Date 2014-06-14 - 2014-06-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLC 
Conference Code 2014-06-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatically-Generated Dictionary-based Emotion Recognition from Tweet Speech 
Sub Title (in English)  
Keyword(1) Emotion recognition  
Keyword(2) linguistic information  
Keyword(3) speech recognition  
Keyword(4) spoken term detection  
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1st Author's Name Eri Yanase  
1st Author's Affiliation University of Yamanashi (Univ. of Yamanashi)
2nd Author's Name Hiromitsu Nishizaki  
2nd Author's Affiliation University of Yamanashi (Univ. of Yamanashi)
3rd Author's Name Yoshihiro Sekiguchi  
3rd Author's Affiliation University of Yamanashi (Univ. of Yamanashi)
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Speaker Author-1 
Date Time 2014-06-14 14:45:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2014-4 
Volume (vol) vol.114 
Number (no) no.81 
Page pp.17-22 
#Pages 6 
Date of Issue 2014-06-07 (NLC) 

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