IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

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)
Download PDF 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) 
Topics (in English)  
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)  
Keyword(1) Spam review  
Keyword(2) Anomaly detection  
Keyword(3) Sentiment analysis  
Keyword(4) Multiple review sites  
Keyword(5) Consistency  
Keyword(6)  
Keyword(7)  
Keyword(8)  
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  
3rd Author's Affiliation Iwate Prefectural University (Iwate pu)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
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
Date of Issue 2019-01-19 (KBSE) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan