FastText

fastText is a library for learning of word embeddings and text classification created by Facebook's AI Research (FAIR) lab.^[3][4][5][6] The model allows one to create an unsupervised learning or supervised learning algorithm for obtaining vector representations for words. Facebook makes available pretrained models for 294 languages.^[7][8] Several papers describe the techniques used by fastText.^{[9][10][11][12]}

fastText

Developer(s)	Facebook's AI Research (FAIR) lab[1]
Initial release	November 9, 2015; 9 years ago (2015-11-09)
Stable release	0.9.2[2] / April 28, 2020; 4 years ago (2020-04-28)
Repository	github.com/facebookresearch/fastText
Written in	C++, Python
Platform	Linux, macOS, Windows
Type	Machine learning library
License	MIT License
Website	fasttext.cc

See also

• Word2vec
• GloVe
• Neural Network
• Natural Language Processing