Latent Semantic Analysis

A dimensionality‑reduction method that uncovers latent term–document associations by factorizing a term–document co‑occurrence matrix (commonly via truncated singular value decomposition) to produce a lower‑dimensional vector space in which semantically related terms and documents are closer.