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Research of Deceptive Review Detection Based on Target Product Identification and Metapath Feature Weight Calculation
Joint Authors
Yuan, Ling
Li, Dan
Wei, Shikang
Wang, Mingli
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
It is widespread that the consumers browse relevant reviews for reference before purchasing the products when online shopping.
Some stores or users may write deceptive reviews to mislead consumers into making risky purchase decisions.
Existing methods of deceptive review detection did not consider the valid product review sets and classification probability of feature weights.
In this research, we propose a deceptive review detection algorithm based on the target product identification and the calculation of the Metapath feature weight, noted as TM-DRD.
The review dataset of target product is modeled as a heterogeneous review information network with the feature nodes.
The classification method of graph is used to detect the deceptive reviews, which can improve the efficiency and accuracy of deceptive review detection due to the sparsity, imbalance of deceptive reviews, and the absence of category probability of feature weight calculation.
The TM-DRD algorithm we proposed is validated on the real review dataset Yelp and compared with the SpEagle, NFC, and NetSpam algorithm.
The experiment results demonstrate that the TM-DRD algorithm performs better than the other method with regard to the accuracy and efficiency.
American Psychological Association (APA)
Yuan, Ling& Li, Dan& Wei, Shikang& Wang, Mingli. 2018. Research of Deceptive Review Detection Based on Target Product Identification and Metapath Feature Weight Calculation. Complexity،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1134599
Modern Language Association (MLA)
Yuan, Ling…[et al.]. Research of Deceptive Review Detection Based on Target Product Identification and Metapath Feature Weight Calculation. Complexity No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1134599
American Medical Association (AMA)
Yuan, Ling& Li, Dan& Wei, Shikang& Wang, Mingli. Research of Deceptive Review Detection Based on Target Product Identification and Metapath Feature Weight Calculation. Complexity. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1134599
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134599