94025fc0c68491476e75db1a7012ffa755c4ae1b
This is a multi-class, multi-label 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.
Description
A multi-class, multi-label NLP network that categorises text into one of ~160 categories, mostly relating to the African continent.
Languages
Python
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Makefile
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