luoyuanlab/text_gcn_tutorial
A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
This project helps classify medical literature by disease type. You input raw text from medical abstracts, and it outputs the assigned disease category (like 'Neoplasms' or 'Cardiovascular Diseases') along with performance metrics. Medical researchers, librarians, or anyone needing to categorize large volumes of scientific papers would find this useful.
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Use this if you need an example of how to automatically sort medical document abstracts into predefined disease categories with high accuracy.
Not ideal if your text classification task involves extremely short texts or requires multi-label classification for each document.
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Python
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Oct 04, 2020
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