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svs: Tools for Semantic Vector Spaces

Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization, latent class analysis, EM clustering, logratio analysis and log-multiplicative (association) analysis. Furthermore, there are specialized distance measures, plotting functions and some helper functions.

Version: 3.1.1
Depends: R (≥ 4.0.0)
Imports: gtools, graphics, stats, methods, Matrix, utils
Suggests: igraph, MASS, pvclust
Published: 2024-06-24
DOI: 10.32614/CRAN.package.svs
Author: Koen Plevoets ORCID iD [aut, cre]
Maintainer: Koen Plevoets <koen.plevoets at ugent.be>
License: GPL-3
NeedsCompilation: no
Citation: svs citation info
In views: NaturalLanguageProcessing
CRAN checks: svs results

Documentation:

Reference manual: svs.pdf

Downloads:

Package source: svs_3.1.1.tar.gz
Windows binaries: r-devel: svs_3.1.1.zip, r-release: svs_3.1.1.zip, r-oldrel: svs_3.1.1.zip
macOS binaries: r-release (arm64): svs_3.1.1.tgz, r-oldrel (arm64): svs_3.1.1.tgz, r-release (x86_64): svs_3.1.1.tgz, r-oldrel (x86_64): svs_3.1.1.tgz
Old sources: svs archive

Reverse dependencies:

Reverse suggests: quanteda.textstats, zebu

Linking:

Please use the canonical form https://CRAN.R-project.org/package=svs to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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