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implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.

Package details

AuthorTommy Jones [aut, cre] (<https://orcid.org/0000-0001-6457-2452>), Brendan Knapp [ctb] (<https://orcid.org/0000-0003-3284-4972>), Barum Park [ctb]
MaintainerTommy Jones <jones.thos.w@gmail.com>
LicenseMIT + file LICENSE
Version0.0.2
URL https://github.com/TommyJones/tidylda/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("tidylda")

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tidylda documentation built on Dec. 11, 2021, 10:02 a.m.