Latent variable topic models such as Latent Dirichlet Allocation (LDA) can discover topics from text in an unsupervised fashion.
lastly, SparselDA (Yao et al., 2009) is a method that improves the efficiency of inference in lDA by only generating portions of the sampling distribution when necessary.