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-4.5)topicdoc_0.1.1.9000.zip(r-4.4)topicdoc_0.1.1.9000.zip(r-4.3)
topicdoc_0.1.1.9000.tgz(r-4.5-any)topicdoc_0.1.1.9000.tgz(r-4.4-any)topicdoc_0.1.1.9000.tgz(r-4.3-any)
topicdoc_0.1.1.9000.tar.gz(r-4.5-noble)topicdoc_0.1.1.9000.tar.gz(r-4.4-noble)
topicdoc_0.1.1.9000.tgz(r-4.4-emscripten)topicdoc_0.1.1.9000.tgz(r-4.3-emscripten)
topicdoc.pdf |topicdoc.html✨
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:

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

5.48 score 25 stars 24 scripts 469 downloads 8 exports 10 dependencies

Last updated 3 years agofrom:29e2a05a57. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 30 2025
R-4.5-winOKJan 30 2025
R-4.5-macOKJan 30 2025
R-4.5-linuxOKJan 30 2025
R-4.4-winOKJan 30 2025
R-4.4-macOKJan 30 2025
R-4.3-winOKJan 30 2025
R-4.3-macOKJan 30 2025

Exports:dist_from_corpusdoc_prominencemean_token_lengthtf_df_disttopic_coherencetopic_diagnosticstopic_exclusivitytopic_size

Dependencies:BHclimodeltoolsNLPRcpprlangslamtmtopicmodelsxml2

Basic usage

Doug Friedman

Rendered frombasic_usage.Rmdusingknitr::rmarkdownon Jan 30 2025.

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