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tidylda: Latent Dirichlet Allocation Using 'tidyverse' Conventions
Implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et at. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>, using style conventions from the 'tidyverse', Wickham et al. (2019)<doi:10.21105/joss.01686>, and 'tidymodels', Kuhn et al.<https://tidymodels.github.io/model-implementation-principles/>. Fitting is done via collapsed Gibbs sampling. Also implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.
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Package details |
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| Author | Tommy Jones [aut, cre] (<https://orcid.org/0000-0001-6457-2452>), Brendan Knapp [ctb] (<https://orcid.org/0000-0003-3284-4972>), Barum Park [ctb] |
| Maintainer | Tommy Jones <jones.thos.w@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.0.3 |
| URL | https://github.com/TommyJones/tidylda/ |
| Package repository | View on CRAN |
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