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]

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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'))

Peer review:

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

On CRAN:

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

5.46 score 25 stars 23 scripts 287 downloads 8 exports 10 dependencies

Last updated 2 years agofrom:29e2a05a57. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:dist_from_corpusdoc_prominencemean_token_lengthtf_df_disttopic_coherencetopic_diagnosticstopic_exclusivitytopic_size

Dependencies:BHclimodeltoolsNLPRcpprlangslamtmtopicmodelsxml2

Basic usage

Doug Friedman

Rendered frombasic_usage.Rmdusingknitr::rmarkdownon Nov 01 2024.

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