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README.md

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# [TextAugment: Improving short text classification through global augmentation methods](https://arxiv.org/abs/1907.03752)
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[![licence](https://img.shields.io/github/license/dsfsi/textaugment.svg?maxAge=3600)](https://github.com/dsfsi/textaugment/blob/master/LICENCE) [![GitHub release](https://img.shields.io/github/release/dsfsi/textaugment.svg?maxAge=3600)](https://github.com/dsfsi/textaugment/releases) [![Wheel](https://img.shields.io/pypi/wheel/textaugment.svg?maxAge=3600)](https://pypi.python.org/pypi/textaugment) [![python](https://img.shields.io/pypi/pyversions/textaugment.svg?maxAge=3600)](https://pypi.org/project/textaugment/)
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## You have just found TextAugment.
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TextAugment is a Python 3 library for augmenting text for natural language processing applications. TextAugment stands on the giant shoulders of [NLTK](https://www.nltk.org/), [Gensim](https://radimrehurek.com/gensim/), and [TextBlob](https://textblob.readthedocs.io/) and plays nicely with them.
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## Citation Paper
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**[Improving short text classification through global augmentation methods](https://arxiv.org/abs/1907.03752)** published to [MLDM 2019](http://mldm.de)
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**[Improving short text classification through global augmentation methods](https://arxiv.org/abs/1907.03752)** published to [MLDM 2019](http://mldm.de).
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![alt text](https://raw.githubusercontent.com/dsfsi/textaugment/master/augment.png "Augmentation methods")
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## Acknowledgements
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Cite this [paper](https://arxiv.org/abs/1907.03752) when using this library.
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```
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@article{marivate2019improving,
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title={Improving short text classification through global augmentation methods},
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author={Marivate, Vukosi and Sefara, Tshephisho},
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journal={arXiv preprint arXiv:1907.03752},
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year={2019}
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}
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```
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## Licence
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MIT licensed. See the bundled [LICENCE](LICENCE) file for more details.
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MIT licensed. See the bundled [LICENCE](https://github.com/dsfsi/textaugment/blob/master/LICENCE) file for more details.

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