CRAN/E | topicmodels

topicmodels

Topic Models

Installation

About

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.

Citation topicmodels citation info
System requirements GNU Scientific Library version >= 1.8

Key Metrics

Version 0.2-16
R ≥ 3.5.0
Published 2024-01-09 80 days ago
Needs compilation? yes
License GPL-2
CRAN checks topicmodels results

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Maintainer

Maintainer

Bettina Grün

Bettina.Gruen@R-project.org

Authors

Bettina Grün

aut / cre

Kurt Hornik

aut

David M Blei

ctb / cph

(VEM estimation of LDA and CTM)

John D Lafferty

ctb / cph

(VEM estimation of CTM)

Xuan-Hieu Phan

ctb / cph

(MCMC estimation of LDA)

Makoto Matsumoto

ctb / cph

(Mersenne Twister RNG)

Takuji Nishimura

ctb / cph

(Mersenne Twister RNG)

Shawn Cokus

ctb

(Mersenne Twister RNG)

Material

NEWS
Reference manual
Package source

In Views

NaturalLanguageProcessing

Vignettes

topicmodels: An R Package for Fitting Topic Models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

topicmodels archive

Depends

R ≥ 3.5.0

Imports

stats4
methods
modeltools
slam
tm ≥ 0.6

Suggests

lattice
lda
OAIHarvester
SnowballC

Reverse Imports

LDABiplots
LDAShiny
LDATS
ldatuning
MadanText
MadanTextNetwork
miRetrieve
musicatk
oRus
revtools
saotd
STdeconvolve
topicdoc
Twitmo

Reverse Suggests

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