PV-DAE: A hybrid model for deceptive opinion spam based on neural network architectures
作者：
Highlights：
• A hybrid model based on neural networks for the detection of deceptive opinion spam.
• The model representations are effective for the detection deceptive opinions.
• The experiments show that our model outperform the state-of-the-art models.
摘要
•A hybrid model based on neural networks for the detection of deceptive opinion spam.•The model representations are effective for the detection deceptive opinions.•The experiments show that our model outperform the state-of-the-art models.
论文关键词：Deceptive opinion spam,Neural networks,Machine learning,Deep learning,Paragraph vector model,Denoising autoencoder model
论文评审过程：Received 16 March 2019, Revised 20 February 2020, Accepted 2 May 2020, Available online 7 May 2020, Version of Record 18 May 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113517
