Seeded-LDA for Topic Modeling

Implements the seeded-LDA model (Lu, Ott, Cardie & Tsou 2010) using the quanteda package and the GibbsLDA++ library for semisupervised topic modeling. Seeded-LDA allows users to pre-define topics with keywords to perform theory-driven analysis of textual data in social sciences and humanities (Watanabe & Zhou 2020) .


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Reference manual

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install.packages("seededlda")

0.5 by Kohei Watanabe, 2 months ago


https://github.com/koheiw/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 Matrix

Depends on quanteda, methods

Suggests testthat, quanteda.textmodels

Linking to Rcpp, RcppParallel, RcppArmadillo, quanteda


See at CRAN