Package: topiclabels Type: Package Title: Automated Topic Labeling with Language Models Version: 0.4.0 Date: 2026-04-27 Authors@R: c(person(given = "Jonas", family = "Rieger", role = c("aut", "cre"), email = "rieger@statistik.tu-dortmund.de", comment = c(ORCID = "0000-0002-0007-4478")), person(given = "Fritz", family = "Peters", role = "aut", email = "fpeters3@sheffield.ac.uk", comment = c(ORCID = "0009-0003-8471-4931")), person(given = "Andreas", family = "Fischer", role = "aut", email = "andreasfischer1985@web.de", comment = c(ORCID = "0009-0006-0748-6076")), person(given = "Tim", family = "Lauer", role = "aut", email = "tl@leibniz-psychology.org", comment = c(ORCID = "0009-0003-1625-1672")), person(given = "André", family = "Bittermann", role = "aut", email = "abi@leibniz-psychology.org", comment = c(ORCID = "0000-0003-2942-9831"))) Maintainer: Jonas Rieger 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. License: GPL (>= 3) Encoding: UTF-8 Depends: R (>= 3.6.0) Imports: checkmate (>= 1.8.5), httr, progress, stats, jsonlite RoxygenNote: 7.3.3 URL: https://github.com/PetersFritz/topiclabels BugReports: https://github.com/PetersFritz/topiclabels/issues Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Config/testthat/edition: 3 Config/pak/sysreqs: libssl-dev Repository: https://petersfritz.r-universe.dev Date/Publication: 2026-04-27 10:09:42 UTC RemoteUrl: https://github.com/petersfritz/topiclabels RemoteRef: HEAD RemoteSha: d44034123bb4e6450ea237b768343b7eb3bb7c3c NeedsCompilation: no Packaged: 2026-09-22 09:58:08 UTC; root Author: Jonas Rieger [aut, cre] (ORCID: ), Fritz Peters [aut] (ORCID: ), Andreas Fischer [aut] (ORCID: ), Tim Lauer [aut] (ORCID: ), André Bittermann [aut] (ORCID: )