topicdoc: Topic-Specific Diagnostics for LDA and CTM Topic Models

Calculates topic-specific diagnostics (e.g. mean token length, exclusivity) for Latent Dirichlet Allocation and Correlated Topic Models fit using the 'topicmodels' package. For more details, see Chapter 12 in Airoldi et al. (2014, ISBN:9781466504080), pp 262-272 Mimno et al. (2011, ISBN:9781937284114), and Bischof et al. (2014) <arXiv:1206.4631v1>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: slam, topicmodels
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2019-10-18
Author: Doug Friedman [aut, cre]
Maintainer: Doug Friedman <doug.nhp at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
In views: NaturalLanguageProcessing
CRAN checks: topicdoc results


Reference manual: topicdoc.pdf
Vignettes: Basic usage


Package source: topicdoc_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): topicdoc_0.1.0.tgz, r-release (x86_64): topicdoc_0.1.0.tgz, r-oldrel: topicdoc_0.1.0.tgz


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