This folder gives the implementation of text classifier which is a Convolutional Neural Network.
At first I trained a custom word2vec model which can be used for word embedding. However, the generated files are too large to be uploaded to github.
So, I switched to using one-hot encoding of each word as the input. And let the Embedding layer learn representations of words later during training.
Run train_onehot.py to check the model.