I just gave an invited talk at KDD about deep learning in which I covered this algorithm, so it's great to see this code appear now.

For anyone interested in text analysis: PLEASE study and use this code and the referenced papers. It's importance is hard to overstate. It is far, far better than all previous approaches to word analysis. These representations are the dimensional compression that occurs in the middle of a deep neural net. The resulting vectors encode rich information about the semantics and usage pattern of each word in a very concise way.

We have barely scratched the surface of the applications of these distributed representations. This is a great time to get started in this field - previous techniques are almost totally obsoleted by this so everyone is starting from the same point.