chengsen/PyTorch_TextGCN
The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification
This project helps machine learning engineers and researchers accurately categorize text documents. It takes raw text data as input and produces a trained model that can classify new documents into predefined categories, along with performance metrics. It's designed for those working with text classification tasks in natural language processing.
110 stars. No commits in the last 6 months.
Use this if you are an NLP practitioner building or evaluating text classification models and want to leverage Graph Convolutional Networks for improved accuracy.
Not ideal if you need a no-code solution or are not comfortable working with Python and PyTorch for model training and evaluation.
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Oct 07, 2020
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