NLP & Language · intermediate · concept 93 of 176
Topic Modeling
Discovering what a pile of documents is about without reading them: classic LDA finds word-cooccurrence themes, modern BERTopic clusters documents in embedding space and labels the clusters. The workhorse of content intelligence, from research-literature mapping to SEO keyword clustering.
Key terms
LDA (Latent Dirichlet Allocation)NMFBERTopicEmbedding clusteringTopic coherence
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Where you meet it in the real world
Voice-of-customer mining, SEO content clustering, research trend mapping, feed curation
Videos
▶ Latent Dirichlet Allocation (Part 1 of 2) ↗
Luis Serrano Academy · YouTube
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