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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.