Changes in version 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().

                 Changes in version 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.

                 Changes in version 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.