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: 1.4.2 Depends: R (≥ 3.5.0), quanteda (≥ 4.0.0) Imports: methods, proxyC (≥ 0.3.1), Matrix LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.600.1.0), quanteda, testthat Suggests: spelling, testthat, topicmodels Published: 2025-01-08 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=seededlda to link to this page.
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