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) .


Reference manual

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0.8.0 by Kohei Watanabe, 18 days ago

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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, topicmodels

Linking to Rcpp, RcppParallel, RcppArmadillo, quanteda

Suggested by oolong.

See at CRAN