Patent Document ID: 20160224544
Application ID: 14755312
Patent Flag: 0

Claim One:
1. A method for identifying sets of correlated words comprising: receiving information for a set of documents; wherein the set of documents comprises a plurality of words; wherein a particular document of the set of documents comprises a particular word of the plurality of words; running a Greedy Gibbs sampler over a Dirichlet distribution of the plurality of words, comprising: computing probabilities of one or more topics, of a plurality of topics, for the particular word in the particular document based, at least in part, on a probability mass for one of: hyperparameters, the particular document, or the particular word; determining, from results of running the Greedy Gibbs sampler over the Dirichlet distribution, one or more sets of correlated words; wherein the one or more sets of correlated words comprises words from the plurality of words; and wherein the method is performed by one or more computing devices.