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topiclabels  

Automated Topic Labeling with Language Models
View on CRAN: Click here


Download and install topiclabels package within the R console
Install from CRAN:
install.packages("topiclabels")

Install from Github:
library("remotes")
install_github("cran/topiclabels")

Install by package version:
library("remotes")
install_version("topiclabels", "0.3.0")



Attach the package and use:
library("topiclabels")
Maintained by
Jonas Rieger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-27
Latest Update: 2024-10-21
Description:
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.
How to cite:
Jonas Rieger (2024). topiclabels: Automated Topic Labeling with Language Models. R package version 0.3.0, https://cran.r-project.org/web/packages/topiclabels. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2024-07-27 18:50), 0.2.0 (2024-10-21 16:30), 0.3.0 (2025-10-27 11:20)
Other packages that cited topiclabels R package
View topiclabels citation profile
Other R packages that topiclabels depends, imports, suggests or enhances
Complete documentation for topiclabels
Functions, R codes and Examples using the topiclabels R package
Full topiclabels package functions and examples
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