Fake news detector with deep learning approach (Part-II) Modeling

In this series of articles, I would like to show how we can use a deep learning algorithm for fake news detection and compare some neural network architecture. This is the second part of this series, where I would like to create several deep learning models with Keras and Tensorflow. In the previous part of this series, I made exploratory data analysis for fake and not fake news. I used different analytics technic to compare fake and not fake news, let's give this work for neural networks. To start modeling, we need to make data preprocessing. Let's check NA values in our train data frame: As we can see, there is a lot of NA value in our dataset.