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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "Rhobots" in publications use:'
type: software
license: MIT
title: 'Rhobots: ''BERTopic''-Style Topic Modeling Without ''Python'''
version: 0.1.10
doi: 10.32614/CRAN.package.Rhobots
abstract: 'Implements the ''BERTopic'' topic modeling pipeline directly in R: transformer-based
  sentence embedding, Uniform Manifold Approximation and Projection dimensionality
  reduction, Hierarchical Density-Based Spatial Clustering of Applications with Noise
  clustering, and class-based term frequency-inverse document frequency topic extraction
  - all without any dependency on ''Python'', ''conda'', or ''reticulate''. Every
  stage runs in R through ''torch'', ''safetensors'', ''tok'', ''uwot'', and ''dbscan''.
  The package mirrors the accessor API of the original ''Python'' package, adds integrated
  quality metrics and hyperparameter search tools, and introduces part-of-speech filtered
  and C-value-ranked representation models.'
authors:
- family-names: Pol
  given-names: J.P.G.
  name-particle: van der
  email: j.p.g.vanderpol@uu.nl
repository: https://jpvdp.r-universe.dev
repository-code: https://github.com/JPvdP/RhoBots
commit: 085f1974265c85ad1b8441fb670d2254a9ff6986
url: https://github.com/JPvdP/RhoBots
date-released: '2026-10-19'
contact:
- family-names: Pol
  given-names: J.P.G.
  name-particle: van der
  email: j.p.g.vanderpol@uu.nl