Non-negative matrix factorization algorithms generally improve topic model fits

Peter Carbonetto, Abhishek Sarkar, Zihao Wang +1

In an effort to develop topic modeling methods that can be quickly applied to large data sets, we revisit the problem of maximum-likelihood estimation in topic models. It is known,…