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.