Neural Variational Document Model

================================= Tensorflow implementation of Neural Variational Inference for Text Processing.

This implementation contains:

1. Neural Variational Document Model

   • Variational inference framework for generative model of text

   • Combines a stochastic document representation with a bag-of-words generative model

Prerequisites

• Python 2.7 or Python 3.3+
• NLTK
• TensorFlow

Usage

To train a model with Ubuntu dataset:

$ python train_tp.py --vocab_path data/vocab.en --data_path some_yaks.txt --model_dir models/ --vocab 75000

Contact

Parminder Bhatia, parminder.bhatia243@gmail.com