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_0.6.2.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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