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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.
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Package details |
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| Author | Jonas Rieger [aut, cre] (<https://orcid.org/0000-0002-0007-4478>), Fritz Peters [aut] (<https://orcid.org/0009-0003-8471-4931>), Andreas Fischer [aut] (<https://orcid.org/0009-0006-0748-6076>), Tim Lauer [aut] (<https://orcid.org/0009-0003-1625-1672>), André Bittermann [aut] (<https://orcid.org/0000-0003-2942-9831>) |
| Maintainer | Jonas Rieger <rieger@statistik.tu-dortmund.de> |
| License | GPL (>= 3) |
| Version | 0.2.0 |
| URL | https://github.com/PetersFritz/topiclabels |
| Package repository | View on CRAN |
| Installation |
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