This repository implements several hierarchical and non-hierarchical Deep Learning models in Tensorflow for text classification of documents. It also supports pre-trained word or character embeddings as input to the models.

The module "model/model.py" contains a Feed Forward Neural Network (FFN), a Recurrent Neural Network (RNN) and a Convolutional Neural Network (CNN). The model "model/hierarchical_model.py" contains the following hierarchical models:

1. A RNN in the word-level with a RNN in the sentence-level.
2. A CNN in the word-level with a RNN in the sentence-level.
3. A FFN in the word-level with a RNN in the sentence-level.
4. A RNN in the word-level, a RNN in the sentence-level and a Conditional Random Field (CRF) as a final layer.

1. Tensorflow 1.8
2. numpy
3. scipy
4. matplotlib