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

8 exports 25 stars 2.24 score 10 dependencies 18 scripts 284 downloads

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

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winOKSep 02 2024
R-4.5-linuxOKSep 02 2024
R-4.4-winOKSep 02 2024
R-4.4-macOKSep 02 2024
R-4.3-winOKSep 02 2024
R-4.3-macOKSep 02 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 Sep 02 2024.

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