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: 0.5
Depends: R (≥ 3.5.0), quanteda (> 2.0), methods
Imports: Matrix
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0), quanteda
Suggests: testthat, quanteda.textmodels
Published: 2020-09-10
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

Downloads:

Reference manual: seededlda.pdf
Package source: seededlda_0.5.tar.gz
Windows binaries: r-devel: seededlda_0.5.zip, r-release: seededlda_0.5.zip, r-oldrel: seededlda_0.5.zip
macOS binaries: r-release: seededlda_0.5.tgz, r-oldrel: seededlda_0.5.tgz

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