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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:1.4.3
Depends:R (≥ 3.5.0)
Imports:quanteda (≥ 4.0.0), methods,proxyC (≥ 0.3.1),Matrix, utils
LinkingTo:Rcpp,RcppArmadillo (≥ 0.7.600.1.0),quanteda,testthat
Suggests:spelling,testthat,topicmodels
Published:2025-09-28
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.html ,seededlda.pdf

Downloads:

Package source: seededlda_1.4.3.tar.gz
Windows binaries: r-devel:seededlda_1.4.3.zip, r-release:seededlda_1.4.3.zip, r-oldrel:seededlda_1.4.3.zip
macOS binaries: r-release (arm64):seededlda_1.4.3.tgz, r-oldrel (arm64):seededlda_1.4.3.tgz, r-release (x86_64):seededlda_1.4.3.tgz, r-oldrel (x86_64):seededlda_1.4.3.tgz
Old sources: seededlda archive

Reverse dependencies:

Reverse imports:oolong
Reverse suggests:sentopics

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=seededldato link to this page.


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