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>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: seededlda results


Reference manual: seededlda.pdf


Package source: seededlda_0.9.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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