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Open AccessArticle

A Review Structure Based Ensemble Model for Deceptive Review Spam

1
School of Software, Nanchang University, Nanchang 33047, China
2
National Taipei University of Business, Jinan Rd., Zhongzheng District, Taipei 10051, Taiwan
3
School of Software, Jiangxi university of Science and Technology, Nanchang 330013, China
*
Author to whom correspondence should be addressed.
Information 2019, 10(7), 243; https://doi.org/10.3390/info10070243
Received: 22 April 2019 / Revised: 18 May 2019 / Accepted: 31 May 2019 / Published: 17 July 2019
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PDF [1709 KB, uploaded 18 July 2019]
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Abstract

Consumers’ purchase behavior increasingly relies on online reviews. Accordingly, there are more and more deceptive reviews which are harmful to customers. Existing methods to detect spam reviews mainly take the problem as a general text classification task, but they ignore the important features of spam reviews. In this paper, we propose a novel model, which splits a review into three parts: first sentence, middle context, and last sentence, based on the discovery that the first and last sentence express stronger emotion than the middle context. Then, the model uses four independent bidirectional long-short term memory (LSTM) models to encode the beginning, middle, end of a review and the whole review into four document representations. After that, the four representations are integrated into one document representation by a self-attention mechanism layer and an attention mechanism layer. Based on three domain datasets, the results of in-domain and mix-domain experiments show that our proposed method performs better than the compared methods. View Full-Text
Keywords: spam review detection; ensemble learning; bidirectional long-Short term memory; self-attention mechanism; attention mechanism; representation learning spam review detection; ensemble learning; bidirectional long-Short term memory; self-attention mechanism; attention mechanism; representation learning
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Zeng, Z.-Y.; Lin, J.-J.; Chen, M.-S.; Chen, M.-H.; Lan, Y.-Q.; Liu, J.-L. A Review Structure Based Ensemble Model for Deceptive Review Spam. Information 2019, 10, 243.

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