jungwhank/rcnn-text-classification-pytorch
PyTorch implementation of "Recurrent Convolutional Neural Network for Text Classification"
This tool helps you automatically sort news articles and other short texts into predefined categories like 'World,' 'Sports,' 'Business,' or 'Sci/Tech.' You input a collection of text documents, and it outputs a classification for each, indicating which category it belongs to. This is ideal for anyone needing to organize large volumes of textual content quickly, such as content managers, journalists, or data analysts.
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Use this if you need to categorize textual content into a small, fixed set of topics efficiently and accurately.
Not ideal if you need to classify highly nuanced text, extract specific entities, or work with very long documents, as it's designed for broad topic classification.
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Language
Python
License
MIT
Last pushed
Oct 20, 2020
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