Latent Dirichlet Allocation (LDA) applied to 2,000 PubMed abstracts using collapsed Gibbs sampling to discover 20 latent biomedical topics.
output quality is evaluated using topic coherence metrics (c_v & c_npmi), indicating interpretable biomedical topics.
