This repository implements a hierarchical attention network architecture for text classification, as described in the 2016 paper by Yang et al. The model uses word-level and sentence-level attention mechanisms to weight important content when classifying documents. It is built with TensorFlow and was trained on the Yelp review dataset, achieving 65% accuracy on a dev set.