ruimtehol: Learn Text 'Embeddings' with 'Starspace'

Wraps the 'StarSpace' library <> 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
DOI: 10.32614/CRAN.package.ruimtehol
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Facebook, Inc. [cph] (Starspace (BSD licensed))
Maintainer: Jan Wijffels <jwijffels at>
License: MPL-2.0
NeedsCompilation: yes
Materials: README NEWS
In views: NaturalLanguageProcessing
CRAN checks: ruimtehol results


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


Package source: ruimtehol_0.3.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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