Evaluating Topic Quality with Posterior Variability

Linzi Xing, Michael J. Paul, Giuseppe Carenini

Probabilistic topic models such as latent Dirichlet allocation (LDA) are popularly used with Bayesian inference methods such as Gibbs sampling to learn posterior distributions over…