This paper explores a simple and efficient baseline for text classification.
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.
%0 Generic
%1 joulin2016tricks
%A Joulin, Armand
%A Grave, Edouard
%A Bojanowski, Piotr
%A Mikolov, Tomas
%D 2016
%K classification efficient fasttext text
%T Bag of Tricks for Efficient Text Classification
%U http://arxiv.org/abs/1607.01759
%X This paper explores a simple and efficient baseline for text classification.
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 explores a simple and efficient baseline for text classification.
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 = {2017-09-29T11:47:32.000+0200},
author = {Joulin, Armand and Grave, Edouard and Bojanowski, Piotr and Mikolov, Tomas},
biburl = {https://www.bibsonomy.org/bibtex/205f09240e52da94fe095928f836ad8ce/hotho},
description = {Bag of Tricks for Efficient Text Classification},
interhash = {3f8bef489b4640c27841b4df606997ce},
intrahash = {05f09240e52da94fe095928f836ad8ce},
keywords = {classification efficient fasttext text},
note = {cite arxiv:1607.01759},
timestamp = {2017-09-29T11:47:32.000+0200},
title = {Bag of Tricks for Efficient Text Classification},
url = {http://arxiv.org/abs/1607.01759},
year = 2016
}