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

6 exports 555 stars 7.75 score 2 dependencies 1 dependents 12 mentions 624 scripts 1.2k downloads

Last updated 6 years agofrom:5067f7b847. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 11 2024
R-4.5-winOKAug 11 2024
R-4.5-linuxOKAug 11 2024
R-4.4-winOKAug 11 2024
R-4.4-macOKAug 11 2024
R-4.3-winOKAug 11 2024
R-4.3-macOKAug 11 2024

Exports:createJSONjsPCArenderVisrunShinyserVisvisOutput

Dependencies:proxyRJSONIO

LDAvis details

Rendered fromdetails.Rnwusingknitr::knitron Aug 11 2024.

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