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An interface to the 'fastText' <https://github.com/facebookresearch/fastText> library for efficient learning of word representations and sentence classification. The 'fastText' algorithm is explained in detail in (i) "Enriching Word Vectors with subword Information", Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov, 2017, <doi:10.1162/tacl_a_00051>; (ii) "Bag of Tricks for Efficient Text Classification", Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov, 2017, <doi:10.18653/v1/e17-2068>; (iii) "FastText.zip: Compressing text classification models", Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Herve Jegou, Tomas Mikolov, 2016, <doi:10.48550/arXiv.1612.03651>.
Version: | 1.0.4 |
Depends: | R (≥ 3.2.3) |
Imports: | Rcpp (≥ 1.0.0), ggplot2, grid, utils, glue, data.table, stats |
LinkingTo: | Rcpp |
Suggests: | testthat, covr, knitr, rmarkdown |
Published: | 2024-02-17 |
DOI: | 10.32614/CRAN.package.fastText |
Author: | Lampros Mouselimis
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Maintainer: | Lampros Mouselimis <mouselimislampros at gmail.com> |
BugReports: | https://github.com/mlampros/fastText/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/mlampros/fastText |
NeedsCompilation: | yes |
SystemRequirements: | Generally, fastText builds on modern Mac OS and Linux distributions. Since it uses some C++11 features, it requires a compiler with good C++11 support. These include a (g++-4.7.2 or newer) or a (clang-3.3 or newer). |
Citation: | fastText citation info |
Materials: | README NEWS |
CRAN checks: | fastText results |
Reference manual: | fastText.pdf |
Vignettes: |
Language Identification using the 'fastText' package (a Benchmark) Functionality of the fastText R package |
Package source: | fastText_1.0.4.tar.gz |
Windows binaries: | r-devel: fastText_1.0.4.zip, r-release: fastText_1.0.4.zip, r-oldrel: fastText_1.0.4.zip |
macOS binaries: | r-release (arm64): fastText_1.0.4.tgz, r-oldrel (arm64): fastText_1.0.4.tgz, r-release (x86_64): fastText_1.0.4.tgz, r-oldrel (x86_64): fastText_1.0.4.tgz |
Old sources: | fastText archive |
Please use the canonical form https://CRAN.R-project.org/package=fastText 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.
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