2018
Augmented Latent Dirichlet Allocation (Lda) Topic Model with Gaussian Mixture Topics
ICASSP 2018accepted
Latent Dirichlet allocation (LDA) is a statistical model that is often used to discover topics or themes in a large collection of documents. In the LDA model, topics are modeled as discrete distributions over a finite vocabulary of words. The LDA is also a popular choice to model other datasets span…