topiclabels: Automated Topic Labeling with Language Models
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.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | checkmate (≥ 1.8.5),httr,progress, stats,jsonlite |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-10-27 |
| DOI: | 10.32614/CRAN.package.topiclabels |
| Author: | Jonas Rieger [aut, cre], Fritz Peters [aut], Andreas Fischer [aut], Tim Lauer [aut], André Bittermann [aut] |
| Maintainer: | Jonas Rieger <rieger at statistik.tu-dortmund.de> |
| BugReports: | https://github.com/PetersFritz/topiclabels/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/PetersFritz/topiclabels |
| NeedsCompilation: | no |
| Citation: | topiclabels citation info |
| Materials: | README |
| CRAN checks: | topiclabels results |
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