%0 Generic %1 joulin2016tricks %A Joulin, Armand %A Grave, Edouard %A Bojanowski, Piotr %A Mikolov, Tomas %D 2016 %K analysis classification fastText language natural processing sentiment %T Bag of Tricks for Efficient Text Classification %U http://arxiv.org/abs/1607.01759 %X This paper proposes a simple and efficient approach for text classification and representation learning. Our experiments show that our fast text classifier fastText is often on par with deep learning classifiers in terms of accuracy, and many orders of magnitude faster for training and evaluation. We can train fastText on more than one billion words in less than ten minutes using a standard multicore CPU, and classify half a million sentences among 312K classes in less than a minute.

@misc{joulin2016tricks, abstract = {This paper proposes a simple and efficient approach for text classification and representation learning. Our experiments show that our fast text classifier fastText is often on par with deep learning classifiers in terms of accuracy, and many orders of magnitude faster for training and evaluation. We can train fastText on more than one billion words in less than ten minutes using a standard multicore CPU, and classify half a million sentences among 312K classes in less than a minute.}, added-at = {2016-07-07T23:42:37.000+0200}, author = {Joulin, Armand and Grave, Edouard and Bojanowski, Piotr and Mikolov, Tomas}, biburl = {https://www.bibsonomy.org/bibtex/205f09240e52da94fe095928f836ad8ce/arnaudsj}, description = {[1607.01759] Bag of Tricks for Efficient Text Classification}, interhash = {3f8bef489b4640c27841b4df606997ce}, intrahash = {05f09240e52da94fe095928f836ad8ce}, keywords = {analysis classification fastText language natural processing sentiment}, note = {cite arxiv:1607.01759}, timestamp = {2016-07-07T23:42:37.000+0200}, title = {Bag of Tricks for Efficient Text Classification}, url = {http://arxiv.org/abs/1607.01759}, year = 2016 }