probability() to extract topic likelihood of
documents.seeds to textmodel_kmeans() and
textmodel_gmm() to initialize clustering with user-provided
centers.as.seedwords() to create a seed words matrix from
quanteda dictionaries.textmodel_kmeans() and
textmodel_gmm() as wrappers around Armadillo’s
kmeans and gmm_diag functions,
respectively.terms() and topics() as utility
functions for topic analysis.