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, 2023) <doi:10.1177/08944393231178605>. 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> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.

Version:	1.4.2
Depends:	R (≥ 3.5.0), quanteda (≥ 4.0.0)
Imports:	methods, proxyC (≥ 0.3.1), Matrix
LinkingTo:	Rcpp, RcppArmadillo (≥ 0.7.600.1.0), quanteda, testthat
Suggests:	spelling, testthat, topicmodels
Published:	2025-01-08
DOI:	10.32614/CRAN.package.seededlda
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, https://koheiw.github.io/seededlda/
NeedsCompilation:	yes
Language:	en-US
Citation:	seededlda citation info
Materials:	NEWS
CRAN checks:	seededlda results

Documentation:

Reference manual:

seededlda.pdf

Downloads:

Package source:	seededlda_1.4.2.tar.gz
Windows binaries:	r-devel: seededlda_1.4.2.zip, r-release: seededlda_1.4.2.zip, r-oldrel: seededlda_1.4.2.zip
macOS binaries:	r-release (arm64): seededlda_1.4.2.tgz, r-oldrel (arm64): seededlda_1.4.2.tgz, r-release (x86_64): seededlda_1.4.2.tgz, r-oldrel (x86_64): seededlda_1.4.2.tgz
Old sources:	seededlda archive

Reverse dependencies:

Reverse imports:	oolong
Reverse suggests:	sentopics

Linking:

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