fastText
| fastText | |
|---|---|
 | |
| Developer(s) | Facebook's AI Research (FAIR) lab[1] |
| Initial release | November 9, 2015 |
| Stable release | 0.9.2[2]
/ April 28, 2020 |
| Repository | github |
| Written in | C++, Python |
| Platform | Linux, macOS, Windows |
| Type | Machine learning library |
| License | BSD License |
| Website | 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] fastText uses a neural network for word embedding.
The fasttext algorithm is based on these two papers:[9]
- Enriching Word Vectors with Subword Information , Piotr Bojanowski, Edouard Grave, Armand Joulin and Tomas Mikolov, 2016
- Bag of Tricks for Efficient Text Classification, Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov, 2016
See also
- fastText implementation in Gensim (Python)
- Word2vec
- GloVe
- Neural Network
- Natural Language Processing
References
- ^ Mannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018.
- ^ Onur Çelebi (2020-04-28). "facebookresearch/fastText/releases/tag/v0.9.2". Facebook. Retrieved 2020-11-21.
- ^ Mannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018.
- ^ Ryan, Kevin J. "Facebook's New Open Source Software Can Learn 1 Billion Words in 10 Minutes". Inc. Retrieved 12 January 2018.
- ^ Low, Cherlynn. "Facebook is open-sourcing its AI bot-building research". Engadget. Retrieved 12 January 2018.
- ^ Mannes, John. "Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub". TechCrunch. Retrieved 12 January 2018.
- ^ Sabin, Dyani. "Facebook Makes A.I. Program Available in 294 Languages". Inverse. Retrieved 12 January 2018.
- ^ "Wiki word vectors". fastText. Retrieved 26 November 2020.
- ^ "FastText". Facebook Research. Retrieved 2019-12-16.
External links
 | This technology-related article is a stub. You can help Wikipedia by expanding it. |