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Paper Abstract and Keywords
Presentation 2013-11-28 13:55
Classifying Questions of Product Accidents in Help desk Questions -- Using Semantic Orientations of Words and Judicial Precedents of Product Liability law --
Koji Wajima (AIIT), Tomomi Ogawa, Toshihiro Furukawa (TUS) ISEC2013-60 LOIS2013-26
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes the methods which classify the kind of questions relative to product accidents as negativedocuments.
Generally, to classify that, the machine leaning based method is used. However, when the training data is insufficient, the machine leaning based method cannot classify questions. Therefore, we propose a new classifying method.
The proposed method can classify the questions under the conditions that the training data is insufficient by using the semantic orientations of words and judicial precedents of product liability law.
The computational simulation shows the efficiency of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Help Desk / Semantic Orientations / Customer Relationship Management / Data Mining / Naive Bayes Classifier / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 327, LOIS2013-26, pp. 9-14, Nov. 2013.
Paper # LOIS2013-26 
Date of Issue 2013-11-21 (ISEC, LOIS) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ISEC2013-60 LOIS2013-26

Conference Information
Committee ISEC LOIS  
Conference Date 2013-11-28 - 2013-11-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2013-11-ISEC-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classifying Questions of Product Accidents in Help desk Questions 
Sub Title (in English) Using Semantic Orientations of Words and Judicial Precedents of Product Liability law 
Keyword(1) Help Desk  
Keyword(2) Semantic Orientations  
Keyword(3) Customer Relationship Management  
Keyword(4) Data Mining  
Keyword(5) Naive Bayes Classifier  
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1st Author's Name Koji Wajima  
1st Author's Affiliation Advanced Institute of Industrial Technology (AIIT)
2nd Author's Name Tomomi Ogawa  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Toshihiro Furukawa  
3rd Author's Affiliation Tokyo University of Science (TUS)
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Speaker
Date Time 2013-11-28 13:55:00 
Presentation Time 25 
Registration for LOIS 
Paper # IEICE-ISEC2013-60,IEICE-LOIS2013-26 
Volume (vol) IEICE-113 
Number (no) no.326(ISEC), no.327(LOIS) 
Page pp.9-14 
#Pages IEICE-6 
Date of Issue IEICE-ISEC-2013-11-21,IEICE-LOIS-2013-11-21 


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