In this tutorial we will implement a model similar to the SCNN model of Luyang Li’s Document representation and feature combination for deceptive spam review detection. In that paper, the SCNN model apply convolutional neural network (CNN) technique to detect deceptive spam review. A Deceptive opinion spam is a review with fictitious opinions which is deliberately written to sound authentic. Deceptive spam review detection can then be thought as of the exercise of taking a review and determining whether is a spam or a truth.
In this first part of the tutorial, we will focus on the data preprocessing phase.