Topic Modeling with LDA

A supervised classifier that assigns documents to predefined categories A generative probabilistic model that discovers latent topics as distributions over words, with each document being a mixture of topics A neural network that generates new documents from random noise A clustering algorithm that assigns each document to exactly one topic