A Theoretical and Practical Implementation Tutorial on Topic Modeling and Gibbs Sampling
William Darling · 2011
This technical report provides a tutorial on the theoretical details of probabilistic topic modeling and gives practical steps on implementing topic models such as Latent Dirichlet Allocation (LDA) through the Markov Chain Monte Carlo approximate inference algorithm Gibbs Sampling.