Namkyu Jung

Continuous Semantic Topic Embedding Model Using Variational Autoencoder

2017 · arXiv (Cornell University)

This paper proposes the continuous semantic topic embedding model (CSTEM) which finds latent topic variables in documents using continuous semantic distance function between the topics and the words by means of the variational autoencoder(VAE). The …