Package: fastText
Type: Package
Title: Efficient Learning of Word Representations and Sentence
        Classification
Version: 1.0.3
Date: 2022-10-08
Authors@R: c( person("Lampros", "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0002-8024-1546")), person("Facebook", "Inc", role = "cph") )
URL: https://github.com/mlampros/fastText
BugReports: https://github.com/mlampros/fastText/issues
Description: 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, <arXiv:1612.03651>.
License: MIT + file LICENSE
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).
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), ggplot2, grid, utils, glue, data.table, stats
Depends: R(>= 3.2.3)
LinkingTo: Rcpp
Suggests: testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.2.1
NeedsCompilation: yes
Packaged: 2022-10-08 04:23:21 UTC; lampros
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>),
  Facebook Inc [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
Repository: CRAN
Date/Publication: 2022-10-08 06:30:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2022-10-09 12:04:31 UTC; unix
Archs: fastText.so.dSYM
