SanghunYun/UDA_pytorch
UDA(Unsupervised Data Augmentation) implemented by pytorch
This project helps improve the accuracy of text classification tasks, like sentiment analysis, even when you have very few labeled examples. It takes your existing text data, both labeled and unlabeled, and processes it to train a more robust text classification model. This is for data scientists, machine learning engineers, or researchers working with natural language processing who need to build high-performing text models with limited annotated data.
278 stars. No commits in the last 6 months.
Use this if you need to train accurate text classification models but have a small number of labeled examples and a larger pool of unlabeled text.
Not ideal if you have a large, fully labeled dataset for your text classification problem, or if you're not working with text data.
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278
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Language
Python
License
Apache-2.0
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Last pushed
Dec 13, 2019
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