ruimtehol: Learn Text 'Embeddings' with 'Starspace'

Wraps the 'StarSpace' library <https://github.com/facebookresearch/StarSpace> allowing users to calculate word, sentence, article, document, webpage, link and entity 'embeddings'. By using the 'embeddings', you can perform text based multi-label classification, find similarities between texts and categories, do collaborative-filtering based recommendation as well as content-based recommendation, find out relations between entities, calculate graph 'embeddings' as well as perform semi-supervised learning and multi-task learning on plain text. The techniques are explained in detail in the paper: 'StarSpace: Embed All The Things!' by Wu et al. (2017), available at <doi:10.48550/arXiv.1709.03856>.

Version:	0.3.2
Depends:	R (≥ 2.10)
Imports:	Rcpp (≥ 0.11.5), utils, graphics, stats
LinkingTo:	Rcpp, BH
Suggests:	udpipe, data.table
Published:	2024-02-22
Author:	Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Facebook, Inc. [cph] (Starspace (BSD licensed))
Maintainer:	Jan Wijffels <jwijffels at bnosac.be>
License:	MPL-2.0
URL:	https://github.com/bnosac/ruimtehol
NeedsCompilation:	yes
Materials:	README NEWS
In views:	NaturalLanguageProcessing
CRAN checks:	ruimtehol results

Documentation:

Reference manual:	ruimtehol.pdf
Vignettes:	Neural Text Models with R package ruimtehol

Downloads:

Package source:	ruimtehol_0.3.2.tar.gz
Windows binaries:	r-devel: ruimtehol_0.3.2.zip, r-release: ruimtehol_0.3.2.zip, r-oldrel: ruimtehol_0.3.2.zip
macOS binaries:	r-release (arm64): ruimtehol_0.3.2.tgz, r-oldrel (arm64): ruimtehol_0.3.2.tgz, r-release (x86_64): ruimtehol_0.3.2.tgz, r-oldrel (x86_64): ruimtehol_0.3.2.tgz
Old sources:	ruimtehol archive

Linking:

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