Kar Wai Lim has just been told they “confirmed the approval” of his PhD (though it hasn’t been “conferred” yet, so he’s not officially a Dr., yet) and he spent the time post submission pumping out journal and conference papers. Ahhh, the unencumbered life of the fresh PhD!
“Nonparametric Bayesian topic modelling with the hierarchical Pitman–Yor processes”, Kar Wai Lim , Wray Buntine, Changyou Chen, Lan Du, International Journal of Approximate Reasoning, 78 (2016) 172–191.
includes what I believe is the world’s best tweet clusterer. Certainly blows away the state of the art tweet pooling methods. Main issue is that the current implementation only scales to a million or so tweets, and not the 100 million or expected in some communities. Easily addressed with a bit of coding work.
We did this to demonstrate the rich possibilities in terms of semantic hierarchies one has, largely unexplored, using simple Gibbs sampling with Pitman-Yor processes. Lan Du (Monash) started this branch of research. I challenge anyone to do this particular model with variational algorithms😉 The machine learning community in the last decade unfortunately got lost on the complexities of Chinese restaurant processes and stick-breaking representations for which complex semantic hierarchies are, well, a bit of a headache!