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This is a multi-class, multi-label NLP network that categorises text into one of ~160 categories, mostly relating to the African continent.

The training dataset is a proprietry dataset, consisting of news articles that have been manually categorised.

The trained model is freely available, as is the training and evaluation code; the dataset is unfortunately not.

Description
A multi-class, multi-label NLP network that categorises text into one of ~160 categories, mostly relating to the African continent.
Readme 148 KiB
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Python 99.4%
Makefile 0.6%