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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | topiclabels_0.3.0.tar.gz |
174.8 KiB |
0.3.0 |
rolling linux/noble R-4.5 | topiclabels_0.3.0.tar.gz |
174.7 KiB |
0.3.0 |
rolling source/ R- | topiclabels_0.3.0.tar.gz |
140.4 KiB |
0.3.0 |
latest linux/jammy R-4.5 | topiclabels_0.3.0.tar.gz |
174.8 KiB |
0.3.0 |
latest linux/noble R-4.5 | topiclabels_0.3.0.tar.gz |
174.7 KiB |
0.3.0 |
latest source/ R- | topiclabels_0.3.0.tar.gz |
140.4 KiB |
0.3.0 |
2026-04-26 source/ R- | topiclabels_0.3.0.tar.gz |
140.4 KiB |
0.3.0 |
2026-04-23 source/ R- | topiclabels_0.3.0.tar.gz |
140.4 KiB |
0.3.0 |
2026-04-09 windows/windows R-4.5 | topiclabels_0.3.0.zip |
177.8 KiB |
0.2.0 |
2025-04-20 source/ R- | topiclabels_0.2.0.tar.gz |
1.3 MiB |