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DESCRIPTION
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Type: Package
Package: topicdoc
Title: Topic-Specific Diagnostics for LDA and CTM Topic Models
Version: 0.1.1.9000
Authors@R:
person(given = "Doug",
family = "Friedman",
role = c("aut", "cre"),
email = "[email protected]")
Description: 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>.
License: MIT + file LICENSE
URL: https://github.com/doug-friedman/topicdoc
BugReports: https://github.com/doug-friedman/topicdoc/issues
Depends:
R (>= 3.5.0)
Imports:
slam,
topicmodels
Suggests:
knitr,
rmarkdown,
stm,
testthat (>= 2.1.0)
VignetteBuilder:
knitr
Encoding: UTF-8
RoxygenNote: 7.2.0