WRSWorld Research StateContribute
WORLD RESEARCH STATE

Deerwester and colleagues: indexing by latent semantic analysis

Contribution grade

Natural language processing and speech · ALGORITHM

Reference score130,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Applied SVD to term-document matrices for latent semantic indexing and retrieval.

Scientific scope

The record is the exact five-author 1990 paper. It does not absorb all matrix factorization, probabilistic latent semantic indexing, later topic models or universal semantic interpretation claims.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact five-author 1990 paper. It does not absorb all matrix factorization, probabilistic latent semantic indexing, later topic models or universal semantic interpretation claims.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

Full scientific record · Browse contribution grades · Request a correction