Package: r-cran-lsa
Architecture: all
Version: 0.73.1-1
Priority: optional
Section: gnu-r
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 251
Depends: r-base-core (>= 3.5.2-1), r-api-3.5, r-cran-snowballc
Suggests: r-cran-tm
Filename: buster/r-cran-lsa/r-cran-lsa_0.73.1-1_all.deb
Size: 203852
MD5sum: 064927d996ffdaa53140558ad7c6e66f
SHA1: 2578933a5fe5caa7449f53b927474de363cafdc8
SHA256: 5926db82f2c996dde6de7b0afcd2907b355b96bb20a7d842dd19e88ae523d9a5
SHA512: 44fdc9c4e95cca04946f7cc81adaa1a9e372ead902e334f02d1a81244041587f6f376755886f85567b0d7799ac62609e78b6d27f08b1ad0827437c829b03b3f6
Homepage: https://cran.r-project.org/package=lsa
Description: 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.