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 <arXiv:1709.03856>.
| Version: | 0.2.3 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp (≥ 0.11.5), utils, graphics, stats |
| LinkingTo: | Rcpp, BH |
| Suggests: | udpipe, data.table |
| Published: | 2020-01-10 |
| 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 |
| SystemRequirements: | C++11 |
| 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_0.2.3.tar.gz |
| Windows binaries: | r-devel: ruimtehol_0.2.3.zip, r-release: ruimtehol_0.2.3.zip, r-oldrel: ruimtehol_0.2.3.zip |
| macOS binaries: | r-release: ruimtehol_0.2.3.tgz, r-oldrel: ruimtehol_0.2.3.tgz |
| Old sources: | ruimtehol archive |
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