seededlda1.4.3 package

Seeded Sequential LDA for Topic Modeling

as.dictionary.textmodel_lda

Create a dictionary from topic terms

divergence

Optimize the number of topics for LDA

info_tbb

Get information on TBB library

perplexity

Optimize the hyper-parameters for LDA

print.textmodel_lda

Print method for a LDA model

sizes

Compute the sizes of topics

terms

Extract most likely terms

textmodel_lda

Unsupervised Latent Dirichlet allocation

textmodel_seededlda

Semisupervised Latent Dirichlet allocation

textmodel_seqlda

Sequential Latent Dirichlet allocation

topics

Extract most likely topics

Download source packageRead PDF manual

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.

  • Maintainer: Kohei Watanabe
  • License: GPL-3
  • Last published: 2025-09-28

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