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| Paper Abstract and Keywords | ||
| Presentation | 2013-08-09 14:50 Feature Extraction and Selection for Detecting Manipulation Online Review Ching-Yun Hsueh (Univ. of Aizu), Long-Sheng Chen (Chaoyang Univ. of Tech.), Qiangfu Zhao (Univ. of Aizu)  AI2013-16 SC2013-10 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | with the proliferation of e-commerce, internet has become an excellent platform for gathering and sharing consumers’ personal views on, preferences for, and experiences with products. With the popularity of text based communication tools, customers can easily express their opinions about purchased products or services. Generally speaking, the on-line reviews should be unbiased reflections of the consumers’ experiences with the products or services. However, some comments are biased “manipulation”, which might reduce consumers’ purchase intentions and bring a great damage to enterprisers. Although the existence of manipulation has been assumed widely, there are few results available in the literature for manipulation detection. This study aims to improve the performance for manipulation detection through feature selection. The study is divided into three parts. In the first part, we use conventional feature vectors obtained directly from the text files, and show that these feature vectors are in fact not useful for manipulation detection. In the second part, we adopt eight features recommended in the literature, and show that these features can improve the detection rate significantly. In the third part, we add three new features that can improve the detection accuracy further. A real case study of smart phone is used to illustrate the effectiveness of the proposed features. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | On-line review / manipulation detection / feature selection / support vector machines / information gain / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 179, SC2013-10, pp. 7-12, Aug. 2013. | |
| Paper # | SC2013-10 | |
| Date of Issue | 2013-08-02 (AI, SC) | |
| 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) | |
| Download PDF | AI2013-16 SC2013-10 |
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| Conference Information | |
| Committee | AI SC |
| Conference Date | 2013-08-09 - 2013-08-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Institute of Informatics |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Linked Data，Linked Service, etc. |
| Paper Information | |
| Registration To | SC |
| Conference Code | 2013-08-AI-SC |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Feature Extraction and Selection for Detecting Manipulation Online Review |
| Sub Title (in English) | |
| Keyword(1) | On-line review |
| Keyword(2) | manipulation detection |
| Keyword(3) | feature selection |
| Keyword(4) | support vector machines |
| Keyword(5) | information gain |
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| Keyword(8) | |
| 1st Author's Name | Ching-Yun Hsueh |
| 1st Author's Affiliation | University of Aizu (Univ. of Aizu) |
| 2nd Author's Name | Long-Sheng Chen |
| 2nd Author's Affiliation | Chaoyang University of Technology (Chaoyang Univ. of Tech.) |
| 3rd Author's Name | Qiangfu Zhao |
| 3rd Author's Affiliation | University of Aizu (Univ. of Aizu) |
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| Speaker | Author-1 |
| Date Time | 2013-08-09 14:50:00 |
| Presentation Time | 30 minutes |
| Registration for | SC |
| Paper # | AI2013-16, SC2013-10 |
| Volume (vol) | vol.113 |
| Number (no) | no.178(AI), no.179(SC) |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2013-08-02 (AI, SC) |
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