textaugment
TextAugment is a Python 3 library that uses global augmentation methods to improve short text classification. It integrates with NLTK, Gensim, and TextBlob to generate synthetic data, enhancing model performance in machine learning frameworks like PyTorch and TensorFlow. The library supports various augmentation techniques such as Word2vec, WordNet, RTT, and mixup, designed to optimize natural language processing tasks. Its simple design allows easy installation and use with pre-trained models, offering a flexible solution for developers aiming to refine text data processing.
