Automated Topic Labeling with Language Models R package topiclabels version 0.4.0 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. Software Depends: R (>= 3.6.0) Imports: checkmate (>= 1.8.5), httr, progress, stats, jsonlite Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Jonas Rieger <rieger@statistik.tu-dortmund.de> Comprehensive R Archive Network (CRAN) Jonas Rieger [aut, cre] (ORCID: <https://orcid.org/0000-0002-0007-4478>), Fritz Peters [aut] (ORCID: <https://orcid.org/0009-0003-8471-4931>), Andreas Fischer [aut] (ORCID: <https://orcid.org/0009-0006-0748-6076>), Tim Lauer [aut] (ORCID: <https://orcid.org/0009-0003-1625-1672>), André Bittermann [aut] (ORCID: <https://orcid.org/0000-0003-2942-9831>) GPL (>= 3) 2026-04-27 application/tgz https://CRAN.R-project.org/package=topiclabels doi:10.32614/CRAN.package.topiclabels