This is an implementation of the neural network presented in the article "Hierarchical Convolutional Attention Networks for Text Classification"

The project is developed using Python 3.7, Tensorflow 2.0.0 and Keras on Tensorflow 2.2.4-tf.

To build a Keras HCAN model, you must execute the build_HCAN function in src/HCAN.py

A small demo is given in the project. To run it you must :

1. Go inside demo directory
2. Modify the variable embedding_root_dir inside setup.py. This variable represents the path to the directory where to download and unzip pretrained Glove words' embeddings.
3. Execute setup.py (python3 setup.py from command line). If you have already downloaded the words' embeddings, skip this step.
4. Run Demo_HCAN.ipynb

Copyright 2020 Nabih Nebbache and Camille Fossier

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