Package: topiclabels 0.2.0
Jonas Rieger
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.
Authors:
topiclabels_0.2.0.tar.gz
topiclabels_0.2.0.tar.gz(r-4.5-noble)topiclabels_0.2.0.tar.gz(r-4.4-noble)
topiclabels_0.2.0.tgz(r-4.4-emscripten)topiclabels_0.2.0.tgz(r-4.3-emscripten)
topiclabels.pdf |topiclabels.html✨
topiclabels/json (API)
| # Install 'topiclabels' in R: |
| install.packages('topiclabels', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/petersfritz/topiclabels/issues
Last updated 2 days agofrom:c2497fe989. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 22 2024 |
| R-4.5-linux | OK | Oct 22 2024 |
Exports:as.lm_topic_labelsis.lm_topic_labelslabel_topics
Dependencies:askpassbackportscheckmateclicrayoncurlgluehmshttrjsonlitelifecyclemimeopensslpkgconfigprettyunitsprogressR6rlangsysvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Automated Topic Labeling with Language Models | topiclabels-package topiclabels |
| lm_topic_labels object | as.lm_topic_labels is.lm_topic_labels |
| Automatically label topics using language models based on top terms | label_topics label_topics.default label_topics.labelTopics |