Efficient Learning of Word Representations and Sentence Classification R package fastText version 1.0.8 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>. Software Depends: R(>= 3.2.3) Imports: Rcpp (>= 1.0.0), ggplot2, grid, utils, glue, data.table, stats LinkingTo: Rcpp Suggests: testthat, covr, knitr, rmarkdown Lampros Mouselimis <mouselimislampros@gmail.com> Comprehensive R Archive Network (CRAN) Lampros Mouselimis [aut, cre] (ORCID: <https://orcid.org/0000-0002-8024-1546>), Facebook Inc [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=fastText/LICENSE) 2026-05-12 application/tgz https://CRAN.R-project.org/package=fastText doi:10.32614/CRAN.package.fastText