1. A method for identifying sets of correlated words comprising: running an uncollapsed Gibbs sampler over a Dirichlet distribution of a plurality of words in a set of documents to produce sampler result data, further comprising: representing one or more counts in the uncollapsed Gibbs sampler using one or more approximate counters, and using one or more probabilistic techniques to increment the one or more approximate counters; and determining, from the sampler result data, one or more sets of correlated words; wherein the method is performed by one or more computing devices.