nkzhlee / hierarchical-attention-networks

Document classification with Hierarchical Attention Networks in TensorFlow

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Deep Text Classifier

Implementation of document classification model described in Hierarchical Attention Networks for Document Classification (Yang et al., 2016).

How to run

  1. Create a virtual environment, activate it, and install requirements:
python3 -m venv env
source env/bin/activate
pip install -r requirements.txt
  1. Download the English model for spaCy:
python -m spacy download en
  1. Get Yelp review dataset and extract it in this directory.
python3 yelp_prepare.py dataset/review.json
python3 worker.py --mode=train --device=/gpu:0 --batch-size=30

Results

I am getting 65% accuracy on a dev set (16% of data) after 3 epochs. Results reported in the paper are 71% on Yelp'15. No systemic hyperparameter optimization was performed.

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Document classification with Hierarchical Attention Networks in TensorFlow

License:MIT License


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Language:Python 100.0%