yao8839836/text_gcn
Graph Convolutional Networks for Text Classification. AAAI 2019
This project helps classify text documents into predefined categories using advanced graph-based methods. You input a collection of text documents and their existing labels (for training), and it outputs a model capable of accurately assigning new, unlabeled documents to the correct categories. It's ideal for data analysts, researchers, or anyone needing to sort large volumes of text efficiently.
1,390 stars. No commits in the last 6 months.
Use this if you need to automatically categorize text documents and are looking for a robust, high-performance classification method.
Not ideal if your documents are very short, heavily rely on context outside the provided text, or if you prefer a simpler, less computationally intensive approach.
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Python
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Dec 29, 2021
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