Together with my colleagues Fritz Peters, Andreas Fischer, Tim Lauer, and André Bittermann, I released a new R package, named topiclabels, for automated topic labeling using language models.

topiclabels leverages (large) language models for automatic topic labeling. The main function converts a list of top terms into a label for each topic. Hence, it is complementary to any topic modeling package that produces a list of top terms for each topic. While human judgement is indispensable for topic validation (i.e., inspecting top terms and most representative documents), automatic topic labeling can be a valuable tool for researchers in various scenarios.

Please visit our GitHub repository for a very intuitive and short introduction of the practical and flexible usage of our package.