Package: topicmodels 0.2-17

Bettina Grün

topicmodels: Topic Models

Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.

Authors:Bettina Grün [aut, cre], Kurt Hornik [aut], David M Blei [ctb, cph], John D Lafferty [ctb, cph], Xuan-Hieu Phan [ctb, cph], Makoto Matsumoto [ctb, cph], Takuji Nishimura [ctb, cph], Shawn Cokus [ctb]

topicmodels_0.2-17.tar.gz
topicmodels_0.2-17.tar.gz(r-4.7-arm64)topicmodels_0.2-17.tar.gz(r-4.7-x86_64)topicmodels_0.2-17.tar.gz(r-4.6-arm64)topicmodels_0.2-17.tar.gz(r-4.6-x86_64)
topicmodels_0.2-17.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
topicmodels/json (API)

# Install 'topicmodels' in R:

install.packages('topicmodels', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

gsl– GNU Scientific Library (GSL)
c++– GNU Standard C++ Library v3

Datasets:

AssociatedPress - Associated Press data
JSS_papers - JSS Papers Dublin Core Metadata

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

gsl cpp

9.10 score 8 stars 13 packages 5.8k scripts 14k downloads 5 mentions 12 exports 9 dependencies

Last updated from:9f331d1955. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	150
linux-devel-x86_64	OK	143
source / vignettes	OK	233
linux-release-arm64	OK	157
linux-release-x86_64	OK	152
wasm-release	OK	182

Exports:CTM distHellinger dtm2ldaformat get_terms get_topics LDA ldaformat2dtm logLik perplexity posterior terms topics

Dependencies:BH cli modeltools NLP Rcpp rlang slam tm xml2

topicmodels: An R Package for Fitting Topic Models

Introduction | Topic model specification and estimation | Application: Main functions LDA() and CTM() | Illustrative example: Abstracts of JSS papers | Summary

Rendered fromtopicmodels.Rnwusingutils::Sweave

Last update: 2024-01-10
Started: 2012-04-17

Help page	Topics
Associated Press data	AssociatedPress
Correlated Topic Model	CTM
Compute Hellinger distance	distHellinger distHellinger.default distHellinger.simple_triplet_matrix
JSS Papers Dublin Core Metadata	JSS_papers
Latent Dirichlet Allocation	LDA
Transform data from and for use with the 'lda' package	dtm2ldaformat ldaformat2dtm
Methods for Function logLik	logLik,Gibbs_list-method logLik,TopicModel-method
Methods for Function perplexity	perplexity perplexity,ANY,DocumentTermMatrix-method perplexity,ANY,matrix-method perplexity,Gibbs,simple_triplet_matrix-method perplexity,Gibbs_list,simple_triplet_matrix-method perplexity,list,missing-method perplexity,list,simple_triplet_matrix-method perplexity,VEM,missing-method perplexity,VEM,simple_triplet_matrix-method
Determine posterior probabilities	posterior,TopicModel,ANY-method posterior,TopicModel,missing-method
Extract most likely terms or topics.	get_terms get_topics terms,TopicModel-method topics topics,TopicModel-method
Virtual class "TopicModel"	CTM-class LDA-class show,TopicModel-method TopicModel-class
Different classes for controlling the estimation of topic models	coerce,list,CTM_VEMcontrol-method coerce,list,LDA_VEMcontrol-method coerce,list,OPTcontrol-method coerce,NULL,CTM_VEMcontrol-method coerce,NULL,LDA_VEMcontrol-method coerce,NULL,LDcontrol-method coerce,NULL,OPTcontrol-method CTM_VEMcontrol-class LDAcontrol-class LDA_Gibbscontrol-class LDA_VEMcontrol-class OPTcontrol-class TopicModelcontrol-class

Package: topicmodels 0.2-17

topicmodels: Topic Models

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Help Manual

Usage by other packages (reverse dependencies)