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Paper Abstract and Keywords
Presentation 2016-06-04 16:25
A SVM-based Method of Victim Representation Extraction from Bad-mouth Comments in Social Media
Yuki Nakano, Yuki Kawahara, Takashi Inui (Tsukuba Univ.) TL2016-6 NLC2016-6
Abstract (in Japanese) (See Japanese page) 
(in English) Bad-mouth comments found on the Social media are negative side of information-oriented society. In this paper, we discuss automatic extraction of victim representation from them. In the proposed method, first, we elect victim candidate representations in posts, and deterministically, for each candidate, judge whether or not the candidate term is used as victim representation by using SVM. The judgement starts from a candidate in a position close to the bad-mouth representation. In the experiment, extraction performance of our proposed method was equal to or higher than all of baseline methods, and achieved 57.4% accuracy. Therefore, the proposed method has been shown to be effective.
Keyword (in Japanese) (See Japanese page) 
(in English) Social media / Malicious contents / Slander / Bad-mouth / Victim / SVM / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 77, TL2016-6, pp. 23-28, June 2016.
Paper # TL2016-6 
Date of Issue 2016-05-28 (TL, 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 TL2016-6 NLC2016-6

Conference Information
Committee NLC TL  
Conference Date 2016-06-04 - 2016-06-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Otaru University of Commerce 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Application of natural language proessing and linguistic analysis, and general topic of NLP 
Paper Information
Registration To TL 
Conference Code 2016-06-NLC-TL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A SVM-based Method of Victim Representation Extraction from Bad-mouth Comments in Social Media 
Sub Title (in English)  
Keyword(1) Social media  
Keyword(2) Malicious contents  
Keyword(3) Slander  
Keyword(4) Bad-mouth  
Keyword(5) Victim  
Keyword(6) SVM  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuki Nakano  
1st Author's Affiliation University of Tsukuba (Tsukuba Univ.)
2nd Author's Name Yuki Kawahara  
2nd Author's Affiliation University of Tsukuba (Tsukuba Univ.)
3rd Author's Name Takashi Inui  
3rd Author's Affiliation University of Tsukuba (Tsukuba Univ.)
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Speaker Author-1 
Date Time 2016-06-04 16:25:00 
Presentation Time 25 minutes 
Registration for TL 
Paper # TL2016-6, NLC2016-6 
Volume (vol) vol.116 
Number (no) no.77(TL), no.78(NLC) 
Page pp.23-28 
#Pages 6 
Date of Issue 2016-05-28 (TL, NLC) 

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