Seeded Sequential LDA for Topic Modeling R package seededlda version 1.4.4 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. Software Depends: R (>= 3.5.0) Imports: quanteda (>= 4.0.0), methods, proxyC (>= 0.3.1), Matrix, utils LinkingTo: Rcpp, RcppArmadillo (>= 0.7.600.1.0), quanteda, testthat Suggests: spelling, testthat, topicmodels Kohei Watanabe <watanabe.kohei@gmail.com> Comprehensive R Archive Network (CRAN) Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph] (GibbsLDA++) GPL-3 2026-05-28 application/tgz https://CRAN.R-project.org/package=seededlda doi:10.32614/CRAN.package.seededlda en-US