no code implementations • NeurIPS 2014 • Shaobo Han, Lin Du, Esther Salazar, Lawrence Carin
We propose a semi-parametric and dynamic rank factor model for topic modeling, capable of (1) discovering topic prevalence over time, and (2) learning contemporary multi-scale dependence structures, providing topic and word correlations as a byproduct.
