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: 0.2.0 Depends: R (≥ 3.6.0) Imports: checkmate (≥ 1.8.5), httr, progress, stats, jsonlite Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-10-21 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=topiclabels to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4