Paper Abstract and Keywords |
Presentation |
2012-02-03 13:15
Complaint sentence detection via automatic training data generation using sentiment lexicons and context coherence Yusuke Umezawa, Takashi Inui, Mikio Yamamoto (Univ. of Tsukuba) NLC2011-64 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
By the spread of the web in recent years, the review about products and services exists in large quantities on the web. If we can detect complaints from such a review, the complaint information is valuable as information for user to forestall disadvantage and information for company to improve products. In this study, using sentiment lexicons and context coherence, we propose a method to generate training data of a sentence level from the review in large quantities on the web. And we detected complaint sentence using classier obtained by machine learning.As a result of the experiment, it was shown that complaint sentence detection using huge training data by proposal method is higher performance than using handmade training data. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
sentiment lexicons / context coherence / automatic training data generation / complaint / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 427, NLC2011-64, pp. 47-52, Feb. 2012. |
Paper # |
NLC2011-64 |
Date of Issue |
2012-01-26 (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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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NLC2011-64 |
Conference Information |
Committee |
NLC |
Conference Date |
2012-02-02 - 2012-02-03 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
NLC |
Conference Code |
2012-02-NLC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Complaint sentence detection via automatic training data generation using sentiment lexicons and context coherence |
Sub Title (in English) |
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sentiment lexicons |
Keyword(2) |
context coherence |
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automatic training data generation |
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complaint |
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1st Author's Name |
Yusuke Umezawa |
1st Author's Affiliation |
Univercity of Tsukuba (Univ. of Tsukuba) |
2nd Author's Name |
Takashi Inui |
2nd Author's Affiliation |
Univercity of Tsukuba (Univ. of Tsukuba) |
3rd Author's Name |
Mikio Yamamoto |
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Univercity of Tsukuba (Univ. of Tsukuba) |
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Speaker |
Author-1 |
Date Time |
2012-02-03 13:15:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2011-64 |
Volume (vol) |
vol.111 |
Number (no) |
no.427 |
Page |
pp.47-52 |
#Pages |
6 |
Date of Issue |
2012-01-26 (NLC) |