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: |
0.1.0 |
Depends: |
R (≥ 3.6.0) |
Imports: |
checkmate (≥ 1.8.5), httr, progress, stats, jsonlite |
Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: |
2024-07-27 |
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 |
Documentation:
Downloads:
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