Yesterday I published a new preprint on the arXiv: “tmfast
fits topic models fast”. Here’s the abstract:
tmfast
is an R package for fitting topic models using a fast algorithm based on partial PCA and the varimax rotation. After providing mathematical background to the method, we present two examples, using a simulated corpus and aggregated works of a selection of authors from the long nineteenth century, and compare the quality of the fitted models to a standard topic modeling package.
The package itself is available on Github.