LSAfun: Applied Latent Semantic Analysis (LSA) Functions

Provides functions that allow for convenient working with vector space models of semantics/distributional semantic models/word embeddings. Originally built for LSA models (hence the name), but can be used for all such vector-based models. For actually building a vector semantic space, use the package 'lsa' or other specialized software. Downloadable semantic spaces can be found at <https://sites.google.com/site/fritzgntr/software-resources>.

Version:	0.6.3
Depends:	R (≥ 3.1.0), lsa, rgl
Published:	2022-06-30
Author:	Fritz Guenther [aut, cre]
Maintainer:	Fritz Guenther <fritz.guenther at uni-tuebingen.de>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Citation:	LSAfun citation info
Materials:	ChangeLog
CRAN checks:	LSAfun results

Documentation:

Reference manual:

LSAfun.pdf

Downloads:

Package source:	LSAfun_0.6.3.tar.gz
Windows binaries:	r-devel: LSAfun_0.6.3.zip, r-release: LSAfun_0.6.3.zip, r-oldrel: LSAfun_0.6.3.zip
macOS binaries:	r-release (arm64): LSAfun_0.6.3.tgz, r-oldrel (arm64): LSAfun_0.6.3.tgz, r-release (x86_64): LSAfun_0.6.3.tgz, r-oldrel (x86_64): LSAfun_0.6.3.tgz
Old sources:	LSAfun archive

Reverse dependencies:

Reverse imports:

transforEmotion

Linking:

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