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Rhobots  

'BERTopic'-Style Topic Modeling Without 'Python'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Rhobots", "0.1.10")



Attach the package and use:
library("Rhobots")
Maintained by
J.P.G. van der Pol
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-08
Latest Update: 2026-08-08
Description:
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.
How to cite:
J.P.G. van der Pol (2026). Rhobots: 'BERTopic'-Style Topic Modeling Without 'Python'. R package version 0.1.10, https://cran.r-project.org/web/packages/Rhobots. Accessed 23 Sep. 2026.
Previous versions and publish date:
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Complete documentation for Rhobots
Functions, R codes and Examples using the Rhobots R package
Full Rhobots package functions and examples
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