This is created for paper "Opinion Fraud Detection via Neural Autoencoder Decision Forest". The code is in 'main.py'. And the dataset could be downloaded with link: dataset
About the dataset: the 1st column is the label(1 for fake reivews and 0 for genuine ones), and the 1st line is the description about the features.
If you find this is helpful for your work please cite:
@article{dong2020opinion,
title={Opinion fraud detection via neural autoencoder decision forest},
author={Dong, Manqing and Yao, Lina and Wang, Xianzhi and Benatallah, Boualem and Huang, Chaoran and Ning, Xiaodong},
journal={Pattern Recognition Letters},
volume={132},
pages={21--29},
year={2020},
publisher={Elsevier}
}