seededlda: Seeded Sequential LDA for Topic Modeling

Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, forthcoming). Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> algorithms based on the GibbsLDA++ library.

Version:	0.9.1
Depends:	R (≥ 3.5.0), quanteda (≥ 3.3.0), methods, proxyC (≥ 0.3.1)
Imports:	Matrix
LinkingTo:	Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0), quanteda
Suggests:	testthat, topicmodels
Published:	2023-05-01
Author:	Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph] (GibbsLDA++)
Maintainer:	Kohei Watanabe <watanabe.kohei at gmail.com>
BugReports:	https://github.com/koheiw/seededlda/issues
License:	GPL-3
URL:	https://github.com/koheiw/seededlda
NeedsCompilation:	yes
Materials:	NEWS
CRAN checks:	seededlda results

Documentation:

Reference manual:

seededlda.pdf

Downloads:

Package source:	seededlda_0.9.1.tar.gz
Windows binaries:	r-devel: seededlda_0.9.1.zip, r-release: seededlda_0.9.1.zip, r-oldrel: seededlda_0.9.1.zip
macOS binaries:	r-release (arm64): seededlda_0.9.1.tgz, r-oldrel (arm64): seededlda_0.9.1.tgz, r-release (x86_64): seededlda_0.9.1.tgz, r-oldrel (x86_64): seededlda_0.9.1.tgz
Old sources:	seededlda archive

Reverse dependencies:

Reverse suggests:

oolong, sentopics

Linking:

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