lda-canonical-topic-modeling

Summary

When someone says "topic modeling" — the process of automatically discovering hidden themes in a large body of text — Latent Dirichlet Allocation is the default method they mean, the benchmark every newer or alternative approach gets measured against. This matters because it means the system treats LDA as the reference point: any claim about topic modeling quality, speed, or novelty is implicitly being made relative to how LDA performs.