lsa (0.61)

Latent Semantic Analysis.

The basic idea of latent semantic analysis (LSA) is, that text do have a higher order (=latent semantic) structure which, however, is obscured by word usage (e.g., through the use of synonyms or polysemy). By using conceptual indices that are derived statistically via a truncated singular value decomposition (a two-mode factor analysis) over a given document-term matrix, this variability problem can be overcome.

Maintainer: Fridolin Wild
Author(s): Fridolin Wild

License: GPL (>= 2)

Uses: Does not use any package
Reverse depends: AurieLSHGaussian, LSAfun
Reverse suggests: qdap, quanteda

Released over 10 years ago.