topiclabels-package {topiclabels} | R Documentation |
Automated Topic Labeling with Language Models
Description
Leveraging (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.
Labeling function
Constructor
Author(s)
Maintainer: Jonas Rieger rieger@statistik.tu-dortmund.de (ORCID)
Authors:
Fritz Peters fpeters3@sheffield.ac.uk (ORCID)
Andreas Fischer andreasfischer1985@web.de (ORCID)
Tim Lauer tl@leibniz-psychology.org (ORCID)
André Bittermann abi@leibniz-psychology.org (ORCID)
See Also
Useful links:
Report bugs at https://github.com/PetersFritz/topiclabels/issues