Latent Dirichlet allocation (LDA) is a heavily used Bayesian hierarchical model used in machine learning for modeling high-dimensional sparse count data, for example, text documents. As a Bayesian mod
Latent Dirichlet allocation (LDA) is a heavily used Bayesian hierarchical model used in machine learning for modeling high-dimensional sparse count data, for example, text documents. As a Bayesian mod
