Latent Semantic Analysis CRAN Task View: NaturalLanguageProcessing (http://CRAN.R-project.org/view=NaturalLanguageProcessing) 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. Software Depends: R (>= 2.10), Snowball, RWeka Fridolin Wild <f.wild@open.ac.uk> Fridolin Wild GPL (>= 2) 2011-06-26 application/tgz http://CRAN.R-project.org/package=lsa