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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
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 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:

Please use the canonical form https://CRAN.R-project.org/package=ruimtehol 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.