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] fastText uses a neural network for word embedding.
 | |
| Developer(s) | Facebook's AI Research (FAIR) lab[1] |
|---|---|
| Initial release | November 9, 2015 |
| Stable release | 0.2.0[2]
/ December 19, 2018 |
| Repository | github |
| Written in | C++, Python |
| Platform | Linux, macOS, Windows |
| Type | Machine learning library |
| License | BSD License |
| Website | fasttext |
Algorithm of fasttext is based on these two papers:[8]
- 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 (2018-12-19). "facebookresearch/fastText/releases/tag/v0.2.0". Facebook. Retrieved 2019-03-18.
- 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.
- "FastText". Facebook Research. Retrieved 2019-12-16.
External links
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.