1. An apparatus comprising: an electronic data processing device configured to perform a modeling method including: applying a set of word embedding transforms to transform text words of a set of documents into K-dimensional word vectors in order to generate sets or sequences of word vectors representing the documents of the set of documents where K is an integer greater than or equal to two; and learning a probabilistic topic model using the sets or sequences of word vectors representing the documents of the set of documents wherein the learned probabilistic topic model operates to assign probabilities for topics of the probabilistic topic model to an input set or sequence of K-dimensional embedded word vectors.