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Paper Abstract and Keywords
Presentation 2018-09-06 10:35
Target Detection for Sarcasm Identification
Satoshi Hiai, Kazutaka Shimada (Kyutech) NLC2018-10
Abstract (in Japanese) (See Japanese page) 
(in English) Sarcasm identification has been treated as a task that classifies text as sarcastic or non-sarcastic. Sarcasm identification is a significant challenge for sentiment analysis because sarcasm involves a positive expression with negative meaning. Targets of sarcasm in sarcastic sentences are an important feature for sarcasm identification. In this paper, we study a detection task of targets of sarcasm in sarcastic sentences. First, we construct a dataset for the target detection task. Then we apply two detection methods using machine learning models to the dataset. We compare the methods with a baseline method. The results demonstrate the effectiveness of our method.
Keyword (in Japanese) (See Japanese page) 
(in English) Sarcasm / Sentiment analysis / Opinion mining / Target of sarcasm / Microblogging / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 210, NLC2018-10, pp. 7-11, Sept. 2018.
Paper # NLC2018-10 
Date of Issue 2018-08-30 (NLC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 NLC2018-10

Conference Information
Committee NLC IPSJ-DC  
Conference Date 2018-09-06 - 2018-09-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Seikei University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Thirteenth Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2018-09-NLC-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Target Detection for Sarcasm Identification 
Sub Title (in English)  
Keyword(1) Sarcasm  
Keyword(2) Sentiment analysis  
Keyword(3) Opinion mining  
Keyword(4) Target of sarcasm  
Keyword(5) Microblogging  
1st Author's Name Satoshi Hiai  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Kazutaka Shimada  
2nd Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2018-09-06 10:35:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2018-10 
Volume (vol) vol.118 
Number (no) no.210 
Page pp.7-11 
Date of Issue 2018-08-30 (NLC) 

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