topiclabels-package: Automated Topic Labeling with Language Models

In topiclabels: Automated Topic Labeling with Language Models

Automated Topic Labeling with Language Models

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.

Labeling function

label_topics

Constructor

as.lm_topic_labels

Author(s)

Maintainer: Jonas Rieger [e-mail] (ORCID)

Authors:

• Fritz Peters [e-mail] (ORCID)

• Andreas Fischer [e-mail] (ORCID)

• Tim Lauer [e-mail] (ORCID)

• André Bittermann [e-mail] (ORCID)

See Also

Useful links:

• https://github.com/PetersFritz/topiclabels

• Report bugs at https://github.com/PetersFritz/topiclabels/issues

topiclabels documentation built on Oct. 21, 2024, 5:07 p.m.