autonlab/KeyClass
Code for "Classifying Unstructured Clinical Notes via Automatic Weak Supervision", MLHC 2022.
KeyClass helps categorize large volumes of unstructured text, like clinical notes or customer reviews, when you don't have existing labeled examples. You provide descriptions of the categories you want to use, and KeyClass automatically assigns labels to your documents. This is ideal for researchers, analysts, or anyone who needs to quickly sort and understand vast amounts of text data without manual labeling.
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Use this if you need to classify text documents into categories but lack human-labeled examples and want to avoid the time and cost of manual annotation.
Not ideal if you already have a well-labeled dataset for your text classification task, as traditional supervised methods might be more straightforward.
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Language
Python
License
MIT
Category
Last pushed
Mar 10, 2023
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