Paper Abstract and Keywords |
Presentation |
2019-01-26 16:05
A Spam Review Detection Method with Verifying Consistency among Multiple Review Sites Chuhao Yao, Jiahong Wang, Eiichiro Kodama (Iwate pu) KBSE2018-51 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, internet sites such as Amazon, Rakuten and TABElog that have the user review information are widely used. As an important factor affecting user purchasing behavior, user review information has been becoming increasingly important, and accordingly the reliability of review information becomes an important issue. Many research works on the review reliability have been done. The effectiveness, however, still remains to be a problem. This paper proposes a method to more accurately detect the appearance period of spam reviews by verifying the consistency of review information among multiple review sites. And the evaluation experiments were conducted to show the effectiveness of the proposed method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Spam review / Anomaly detection / Sentiment analysis / Multiple review sites / Consistency / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 425, KBSE2018-51, pp. 49-54, Jan. 2019. |
Paper # |
KBSE2018-51 |
Date of Issue |
2019-01-19 (KBSE) |
ISSN |
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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KBSE2018-51 |
Conference Information |
Committee |
KBSE |
Conference Date |
2019-01-26 - 2019-01-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
NII |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
KBSE |
Conference Code |
2019-01-KBSE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Spam Review Detection Method with Verifying Consistency among Multiple Review Sites |
Sub Title (in English) |
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Keyword(1) |
Spam review |
Keyword(2) |
Anomaly detection |
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Sentiment analysis |
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Multiple review sites |
Keyword(5) |
Consistency |
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1st Author's Name |
Chuhao Yao |
1st Author's Affiliation |
Iwate Prefectural University (Iwate pu) |
2nd Author's Name |
Jiahong Wang |
2nd Author's Affiliation |
Iwate Prefectural University (Iwate pu) |
3rd Author's Name |
Eiichiro Kodama |
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Iwate Prefectural University (Iwate pu) |
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Speaker |
Author-1 |
Date Time |
2019-01-26 16:05:00 |
Presentation Time |
30 minutes |
Registration for |
KBSE |
Paper # |
KBSE2018-51 |
Volume (vol) |
vol.118 |
Number (no) |
no.425 |
Page |
pp.49-54 |
#Pages |
6 |
Date of Issue |
2019-01-19 (KBSE) |
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