Topic-Specific Diagnostics for LDA and CTM Topic Models R package topicdoc version 0.1.1 CRAN Task View: NaturalLanguageProcessing (https://CRAN.R-project.org/view=NaturalLanguageProcessing) 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>. Software Depends: R (>= 3.5.0) Imports: slam, topicmodels Suggests: knitr, rmarkdown, stm, testthat (>= 2.1.0) Doug Friedman <doug.nhp@gmail.com> Comprehensive R Archive Network (CRAN) Doug Friedman [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=topicdoc/LICENSE) 2022-07-17 application/tgz https://CRAN.R-project.org/package=topicdoc doi:10.32614/CRAN.package.topicdoc