NEWS

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GMTM 0.2.1

• Improve the consistency of the textmodel_kmeans and textmodel_gmm objects.
• Change the method to identify the most likely topic terms for textmodel_gmm.
• Fix the handling of multi-word expressions in as.seedwords().

GMTM 0.2.0 (2026-09-22)

• Add probability() to extract topic likelihood of documents.
• Add seeds to textmodel_kmeans() and textmodel_gmm() to initialize clustering with user-provided centers.
• Add as.seedwords() to create a seed words matrix from quanteda dictionaries.

GMTM 0.1.0 (2026-09-15)

• Create textmodel_kmeans() and textmodel_gmm() as wrappers around Armadillo's kmeans and gmm_diag functions, respectively.
• Create terms() and topics() as utility functions for topic analysis.