dsfsi/textaugment
A Python library for augmenting text data to improve NLP model training.
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TextAugment provides data augmentation techniques for natural language processing, including synonym replacement using WordNet and document embedding augmentation. It integrates with NLTK, Gensim, and other NLP libraries to help researchers and practitioners expand limited training datasets.
Frequently asked
- What is dsfsi/textaugment?
- A Python library for augmenting text data to improve NLP model training.
- Is textaugment open source?
- Yes — dsfsi/textaugment is open source, released under the MIT license.
- What language is textaugment written in?
- dsfsi/textaugment is primarily written in Python.
- How popular is textaugment?
- dsfsi/textaugment has 439 stars on GitHub.
- Where can I find textaugment?
- dsfsi/textaugment is on GitHub at https://github.com/dsfsi/textaugment.