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.
|Date of publication||2015-05-08 19:58:09|
|Maintainer||Fridolin Wild <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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