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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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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) |
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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 |
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Semantic Orientations |
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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 |
Author-1 |
Date Time |
2013-11-28 13:55:00 |
Presentation Time |
25 minutes |
Registration for |
LOIS |
Paper # |
ISEC2013-60, LOIS2013-26 |
Volume (vol) |
vol.113 |
Number (no) |
no.326(ISEC), no.327(LOIS) |
Page |
pp.9-14 |
#Pages |
6 |
Date of Issue |
2013-11-21 (ISEC, LOIS) |
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