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Data augmentation is a collection of techniques that manage the process of automatically generating high-quality data on top of existing data. In this article, we will learn how to use a library called TexAttack to improve data for natural language processing. TexAttack is a Python framework that was built by the QData team for the purpose of conducting adversarial attacks, adversarial training, and data augmentation. The process of augmenting text data is more challenging and not as straightforward as some might expect.
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