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LDAvis
View on CRAN: Click
here
Download and install LDAvis package within the R console
Install from CRAN:
install.packages("LDAvis")
Install from Github:
library("remotes")
install_github("cran/LDAvis")
Install by package version:
library("remotes")
install_version("LDAvis", "0.3.2")
Attach the package and use:
library("LDAvis")
Maintained by
Carson Sievert
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-01-23
Latest Update: 2015-10-24
Description:
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.
How to cite:
Carson Sievert (2015). LDAvis: Interactive Visualization of Topic Models. R package version 0.3.2, https://cran.r-project.org/web/packages/LDAvis
Previous versions and publish date:
0.2 (2015-01-23 21:07)
Other packages that cited LDAvis R package
View LDAvis citation profile
Other R packages that LDAvis depends,
imports, suggests or enhances
Functions, R codes and Examples using
the LDAvis R package
Some associated functions: TwentyNewsgroups . createJSON . jsPCA . renderVis . runShiny . serVis . visOutput .
Some associated R codes: createJSON.R . data.R . imports.R . runShiny.R . serVis.R . shiny.R . Full LDAvis package functions and examples
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