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) . Implements Seeded LDA (Lu et al., 2010) and Sequential LDA (Du et al., 2012) with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.


Reference manual

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install.packages("seededlda")

1.4.4 by Kohei Watanabe, 4 months ago


https://github.com/koheiw/seededlda, https://koheiw.github.io/seededlda/


Report a bug at https://github.com/koheiw/seededlda/issues


Browse source code at https://github.com/cran/seededlda


Authors: Kohei Watanabe [aut, cre, cph] , Phan Xuan-Hieu [aut, cph] (GibbsLDA++)


Documentation:   PDF Manual  


GPL-3 license


Imports quanteda, methods, proxyC, Matrix, utils

Suggests spelling, testthat, topicmodels

Linking to Rcpp, RcppArmadillo, quanteda, testthat


Imported by oolong.

Suggested by sentopics.


See at CRAN