Package: topicdoc 0.1.1.9000

Doug Friedman

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>.

Authors:Doug Friedman [aut, cre]

topicdoc_0.1.1.9000.tar.gz
topicdoc_0.1.1.9000.zip(r-4.7)topicdoc_0.1.1.9000.zip(r-4.6)topicdoc_0.1.1.9000.zip(r-4.5)
topicdoc_0.1.1.9000.tgz(r-4.6-any)topicdoc_0.1.1.9000.tgz(r-4.5-any)
topicdoc_0.1.1.9000.tar.gz(r-4.7-any)topicdoc_0.1.1.9000.tar.gz(r-4.6-any)
topicdoc_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
topicdoc/json (API)
NEWS

# Install 'topicdoc' in R:
install.packages('topicdoc', repos = c('https://doug-friedman.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/doug-friedman/topicdoc/issues

On CRAN:

Conda:

natural-language-processingtext-miningtopic-modelingtopic-modellingtopic-models

5.68 score 25 stars 38 scripts 504 downloads 8 exports 10 dependencies

Last updated from:29e2a05a57. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK155
source / vignettesOK230
linux-release-x86_64OK135
macos-release-arm64OK142
macos-oldrel-arm64OK224
windows-develOK114
windows-releaseOK138
windows-oldrelOK118
wasm-releaseOK128

Exports:dist_from_corpusdoc_prominencemean_token_lengthtf_df_disttopic_coherencetopic_diagnosticstopic_exclusivitytopic_size

Dependencies:BHclimodeltoolsNLPRcpprlangslamtmtopicmodelsxml2

Basic usage

Doug Friedman

Rendered frombasic_usage.Rmdusingknitr::rmarkdownon May 10 2026.

Last update: 2019-09-18
Started: 2019-09-18