Efficient Learning of Word Representations and Sentence Classification

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, ; (ii) "Bag of Tricks for Efficient Text Classification", Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov, 2017, ; (iii) "FastText.zip: Compressing text classification models", Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Herve Jegou, Tomas Mikolov, 2016, .


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install.packages("fastText")

1.0.1 by Lampros Mouselimis, 25 days ago


Browse source code at https://github.com/cran/fastText


Authors: Lampros Mouselimis [aut, cre] , Facebook Inc [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp, ggplot2, grid, utils, glue, data.table, stats

Suggests testthat, covr, knitr, rmarkdown

Linking to Rcpp

System requirements: 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).


See at CRAN