lsa (0.73.2)

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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: SnowballC, tm
Reverse depends: AurieLSHGaussian, LSAfun
Reverse suggests: qdap, quanteda, quanteda.textmodels

Released 25 days ago.

9 previous versions



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