Package: LDAvis 0.3.5

LDAvis: Interactive Visualization of Topic Models

Tools to create an interactive web-based visualization of a topic model that has been fit to a corpus of text data using Latent Dirichlet Allocation (LDA). Given the estimated parameters of the topic model, it computes various summary statistics as input to an interactive visualization built with 'D3.js' that is accessed via a browser. The goal is to help users interpret the topics in their 'LDA' topic model.

Authors:Carson Sievert [aut, cre], Kenny Shirley [aut], Christopher Baker [ctb]

LDAvis_0.3.5.tar.gz
LDAvis_0.3.5.zip(r-4.5)LDAvis_0.3.5.zip(r-4.4)LDAvis_0.3.5.zip(r-4.3)
LDAvis_0.3.5.tgz(r-4.4-any)LDAvis_0.3.5.tgz(r-4.3-any)
LDAvis_0.3.5.tar.gz(r-4.5-noble)LDAvis_0.3.5.tar.gz(r-4.4-noble)
LDAvis_0.3.5.tgz(r-4.4-emscripten)LDAvis_0.3.5.tgz(r-4.3-emscripten)
LDAvis.pdf |LDAvis.html✨
LDAvis/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/cpsievert/ldavis/issues

Datasets:

On CRAN:

javascripttext-miningtopic-modelingvisualization

10.78 score 556 stars 1 packages 764 scripts 1.3k downloads 12 mentions 6 exports 2 dependencies

Last updated 7 years agofrom:5067f7b847. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winOKNov 09 2024
R-4.5-linuxOKNov 09 2024
R-4.4-winOKNov 09 2024
R-4.4-macOKNov 09 2024
R-4.3-winOKNov 09 2024
R-4.3-macOKNov 09 2024

Exports:createJSONjsPCArenderVisrunShinyserVisvisOutput

Dependencies:proxyRJSONIO

LDAvis details

Rendered fromdetails.Rnwusingknitr::knitron Nov 09 2024.

Last update: 2015-07-19
Started: 2014-12-17