Latent Dirichlet Allocation in Azure Machine Learning

Latent Dirichlet Allocation (LDA) is a Topic modelling technique that used in Text Mining. This technique was first introduced in 2003 by this research paper. 

LDA can be achieved in the Azure Machine Learning platform as it has specific LDA control. This is the experiment that was created in the Gallery with more than 50 Azure Machine Learning controls.