{{Short description|Programming library}} {{about|the text classification library|the teletext feature|Fastext}} {{lowercase title}} {{Infobox software | name = fastText | logo = FastText.png | author = | developer = Facebook's AI Research (FAIR) lab<ref>{{cite web|last1=Mannes|first1=John|title=Facebook's fastText library is now optimized for mobile|url=https://techcrunch.com/2017/05/02/facebooks-fasttext-library-is-now-optimized-for-mobile/|website=TechCrunch|accessdate=12 January 2018}}</ref> | released = {{Start date and age|2015|11|09}} | latest release version = 0.9.2<ref name="gith_face_v0.9.2">{{Cite web | title = facebookresearch/fastText/releases/tag/v0.9.2 | author = Onur Çelebi | work = Facebook | date = 2020-04-28 | accessdate = 2020-11-21 | url = https://github.com/facebookresearch/fastText/releases/tag/v0.9.2 | quote = }}</ref> | latest release date = {{Start date and age|2020|04|28}} | repo = {{URL|https://github.com/facebookresearch/fastText}} | programming language = C++, Python | platform = Linux, macOS, Windows | genre = Machine learning library | license = MIT License | website = {{URL|https://fasttext.cc/}} }} '''fastText''' is a library for learning of word embeddings and text classification created by Facebook's AI Research (FAIR) lab.<ref>{{cite web|last1=Mannes|first1=John|title=Facebook's fastText library is now optimized for mobile|url=https://techcrunch.com/2017/05/02/facebooks-fasttext-library-is-now-optimized-for-mobile/|website=TechCrunch|accessdate=12 January 2018}}</ref><ref>{{cite web|last1=Ryan|first1=Kevin J.|title=Facebook's New Open Source Software Can Learn 1 Billion Words in 10 Minutes|url=https://www.inc.com/kevin-j-ryan/facebook-open-source-fasttext-learns-1-billion-words-in-10-minutes.html|website=Inc.|accessdate=12 January 2018}}</ref><ref>{{cite web|last1=Low|first1=Cherlynn|title=Facebook is open-sourcing its AI bot-building research|url=https://www.engadget.com/2016/08/18/facebook-open-sourcing-fasttext/|website=Engadget|accessdate=12 January 2018}}</ref><ref>{{cite web|last1=Mannes|first1=John|title=Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub|url=https://techcrunch.com/2016/08/18/facebooks-artificial-intelligence-research-lab-releases-open-source-fasttext-on-github/|website=TechCrunch|accessdate=12 January 2018}}</ref> 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.<ref>{{cite web|last1=Sabin|first1=Dyani|title=Facebook Makes A.I. Program Available in 294 Languages|url=https://www.inverse.com/article/31075-facebook-machine-learning-language-fasttext|website=Inverse|accessdate=12 January 2018}}</ref><ref>{{cite web|title=Wiki word vectors|url=https://fasttext.cc/docs/en/pretrained-vectors.html|website=fastText|language=en-US|accessdate=26 November 2020}}</ref> Several papers describe the techniques used by fastText.<ref>{{Cite web|title=References · fastText|url=https://fasttext.cc/index.html|access-date=2021-09-08|website=fasttext.cc|language=en}}</ref><ref>{{cite arXiv|last1=Bojanowski|first1=Piotr|last2=Grave|first2=Edouard|last3=Joulin|first3=Armand|last4=Mikolov|first4=Tomas|date=2017-06-19|title=Enriching Word Vectors with Subword Information|class=cs.CL|eprint=1607.04606}}</ref><ref>{{cite arXiv|last1=Joulin|first1=Armand|last2=Grave|first2=Edouard|last3=Bojanowski|first3=Piotr|last4=Mikolov|first4=Tomas|date=2016-08-09|title=Bag of Tricks for Efficient Text Classification|class=cs.CL|eprint=1607.01759}}</ref><ref>{{cite arXiv|last1=Joulin|first1=Armand|last2=Grave|first2=Edouard|last3=Bojanowski|first3=Piotr|last4=Douze|first4=Matthijs|last5=Jégou|first5=Hérve|last6=Mikolov|first6=Tomas|date=2016-12-12|title=FastText.zip: Compressing text classification models|class=cs.CL|eprint=1612.03651}}</ref> The GitHub repository was archived on March 19, 2024.
== See also == * Word2vec * GloVe * Neural network (machine learning) * Natural language processing * Comparison of machine learning software
== References == {{reflist}}
== External links == * [https://fasttext.cc fastText] *https://research.fb.com/downloads/fasttext/
{{Natural Language Processing}}
Category:Natural language processing software Category:Software using the MIT license
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