BERTopic + LLMs: Faster, More Accurate Topic Modeling for Unstructured Text
BERTopic stitches together transformer embeddings, UMAP, HDBSCAN and optional LLM‑based representation models into a modular pipeline, delivering topic clusters that beat LDA in speed and coherence. The article walks through a concrete Python implementation, showing how swapping components—like a smaller SentenceTransformer—lets you tune performance for large corpora.