lsa: 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.

Getting started

Package details

AuthorFridolin Wild
MaintainerFridolin Wild <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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lsa documentation built on May 4, 2020, 5:05 p.m.