seededlda: Seeded-LDA for Topic Modeling

Implements the seeded-LDA model (Lu, Ott, Cardie & Tsou 2010) <doi:10.1109/ICDMW.2011.125> using the quanteda package and the GibbsLDA++ library for semisupervised topic modeling. Seeded-LDA allows users to pre-define topics with keywords to perform theory-driven analysis of textual data in social sciences and humanities (Watanabe & Zhou 2020) <doi:10.1177/0894439320907027>.

Version:	0.8.1
Depends:	R (≥ 3.5.0), quanteda (> 2.0), methods, proxyC
Imports:	Matrix
LinkingTo:	Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0), quanteda
Suggests:	testthat, quanteda.textmodels, topicmodels
Published:	2022-03-28
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_0.8.1.tar.gz
Windows binaries:	r-devel: seededlda_0.8.1.zip, r-release: seededlda_0.8.1.zip, r-oldrel: seededlda_0.8.1.zip
macOS binaries:	r-release (arm64): seededlda_0.8.1.tgz, r-oldrel (arm64): seededlda_0.8.1.tgz, r-release (x86_64): seededlda_0.8.1.tgz, r-oldrel (x86_64): seededlda_0.8.1.tgz
Old sources:	seededlda archive

Reverse dependencies:

Reverse suggests:

oolong, sentopics

Linking:

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