Package: lsa 0.73.3

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.

Authors:Fridolin Wild

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26 exports 3.66 score 1 dependencies 22 dependents 5 mentions 1.1k scripts 2.9k downloads

Last updated 2 years agofrom:31ba5c16be. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:as.textmatrixassociatecosinedelTripledimcalc_kaiserdimcalc_ndocsdimcalc_rawdimcalc_shareentropyfold_ingetTriplegw_entropygw_gfidfgw_idfgw_normalisationlsalw_bintflw_logtflw_tfprint.textmatrixquerysample.textmatrixsetTriplesummary.textmatrixtextmatrixtextvector

Dependencies:SnowballC