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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: 1.4.1
Depends: R (≥ 3.5.0), quanteda (≥ 4.0.0), methods, proxyC (≥ 0.3.1)
Imports: Matrix
LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.600.1.0), quanteda, testthat
Suggests: spelling, testthat, topicmodels
Published: 2024-09-06
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_1.4.1.tar.gz
Windows binaries: r-devel: seededlda_1.4.1.zip, r-release: seededlda_1.4.1.zip, r-oldrel: seededlda_1.4.1.zip
macOS binaries: r-release (arm64): seededlda_1.4.1.tgz, r-oldrel (arm64): seededlda_1.4.1.tgz, r-release (x86_64): seededlda_1.4.1.tgz, r-oldrel (x86_64): seededlda_1.4.1.tgz
Old sources: seededlda archive

Reverse dependencies:

Reverse imports: oolong
Reverse suggests: sentopics

Linking:

Please use the canonical form https://CRAN.R-project.org/package=seededlda to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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