Document classification with Hierarchical Attention Networks in TensorFlow

TensorFlow Implementation For [Hierarchical Attention Networks for Document Classification](http://www.cs.cmu.edu/~./hovy/papers/16HLT-hierarchical-attention-networks.pdf)

Hierarchical Attention Network for Sentiment Analysis

TextSentimentClassification, using tensorflow.

Hierarchical Attention Networks for Document Classification

Text-based Geolocation Prediction of Social Media Users with Neural Networks

Hierarchical Attention Networks for Document Classification in Keras

Implementation of Hierarchical Attention Networks in PyTorch

THANOS is a modification in HAN (Hierarchical Attention Network) architecture. Here we use Tree LSTM to obtain the embeddings for each sentence.

Repository of state of the art text/documentation classification algorithms in Pytorch.

PyTorch Implementation of Hierarchical Attention Network

Keras implementation of hierarchical attention network for document classification with options to predict and present attention weights on both word and sentence level.

Comparative Analysis of CNN, RNN and HAN for Text Classification with GloVe Data Model

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

Text Classification: A Comparative Analysis of Different Deep Neural Network Architectures

A PyTorch implementation of the document classification by Hierarchical Attention Network

Hierarchical Attention Neural Network For Fake News Detection

Plot of the attention in a HAN (Hierarchical Attention Networks)

Hierarchical Attention Networks for Document Classification in PyTorch

Always-watching anti-malware software using malicious language processing (hierarchical attention network)