A multi-class, multi-label NLP network that categorises text into one of ~160 categories, mostly relating to the African continent.
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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 from allAfrica.com, consisting of stories that have been manuially categorised according to AllAfrica's inhouse categorisation scheme.

The trained model is freely available, as is the training and evaluation code.