Paper Abstract and Keywords |
Presentation |
2016-06-18 13:10
An Evaluation of Feature Term Extraction Method based on Polarity Analysis from Customer Reviews Tomofumi Yoshida, Daisuke Kitayama (Kogakuin Univ.) DE2016-5 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Our paper proposes a method, based on content-based recommendation, for extracting feature terms that can express product features from customer reviews on e-commerce sites. We define the features of a product as those features that reviewers considered them to be the advantages and disadvantages of a product. Therefore we extract them as features of the product that made a sufficiently strong impression on reviewers. The approach involves extracting opinion sentences from customer reviews, and recognizes each evaluated term as a candidate for product features. Using the positive opinion ratio of each candidate as the extent of how divided reviewers' opinions are, we extract the feature terms of the selected product by considering the feature score based on the positive opinion ratio. We conducted an experiment to evaluate the usefulness of extracted feature terms. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Customer reviews / text mining / extracting opinion expressions / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 105, DE2016-5, pp. 19-24, June 2016. |
Paper # |
DE2016-5 |
Date of Issue |
2016-06-11 (DE) |
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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DE2016-5 |
Conference Information |
Committee |
DE |
Conference Date |
2016-06-18 - 2016-06-18 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Rakuten Crimson House |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Social Computing |
Paper Information |
Registration To |
DE |
Conference Code |
2016-06-DE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Evaluation of Feature Term Extraction Method based on Polarity Analysis from Customer Reviews |
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Customer reviews |
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text mining |
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extracting opinion expressions |
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1st Author's Name |
Tomofumi Yoshida |
1st Author's Affiliation |
Kogakuin University (Kogakuin Univ.) |
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Daisuke Kitayama |
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Kogakuin University (Kogakuin Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-06-18 13:10:00 |
Presentation Time |
25 minutes |
Registration for |
DE |
Paper # |
DE2016-5 |
Volume (vol) |
vol.116 |
Number (no) |
no.105 |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2016-06-11 (DE) |
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