d2a5bb1717282804a754e79f4b3b5eaa6e444fb1
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.
Languages
Python
99.4%
Makefile
0.6%