fastText

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fastText
FastText.png
Developer(s)Facebook's AI Research (FAIR) lab[1]
Initial releaseNovember 9, 2015; 5 years ago (2015-11-09)
Stable release
0.9.2[2] / April 28, 2020; 12 months ago (2020-04-28)
Repositorygithub.com/facebookresearch/fastText
Written inC++, Python
PlatformLinux, macOS, Windows
TypeMachine learning library
LicenseBSD License
Websitefasttext.cc

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] fastText uses a neural network for word embedding.

The fasttext algorithm is based on these two papers:[9]

See also[edit]

References[edit]

  1. ^ Mannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018. CS1 maint: discouraged parameter (link)
  2. ^ Onur Çelebi (2020-04-28). "facebookresearch/fastText/releases/tag/v0.9.2". Facebook. Retrieved 2020-11-21. CS1 maint: discouraged parameter (link)
  3. ^ Mannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018. CS1 maint: discouraged parameter (link)
  4. ^ Ryan, Kevin J. "Facebook's New Open Source Software Can Learn 1 Billion Words in 10 Minutes". Inc. Retrieved 12 January 2018. CS1 maint: discouraged parameter (link)
  5. ^ Low, Cherlynn. "Facebook is open-sourcing its AI bot-building research". Engadget. Retrieved 12 January 2018. CS1 maint: discouraged parameter (link)
  6. ^ Mannes, John. "Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub". TechCrunch. Retrieved 12 January 2018. CS1 maint: discouraged parameter (link)
  7. ^ Sabin, Dyani. "Facebook Makes A.I. Program Available in 294 Languages". Inverse. Retrieved 12 January 2018. CS1 maint: discouraged parameter (link)
  8. ^ "Wiki word vectors". fastText. Retrieved 26 November 2020. CS1 maint: discouraged parameter (link)
  9. ^ "FastText". Facebook Research. Retrieved 2019-12-16.

External links[edit]