A multi-class, multi-label NLP network that categorises text into one of ~160 categories, mostly relating to the African continent.
- Python 99.4%
- Makefile 0.6%
| Filename | Latest commit message | Latest commit date |
|---|---|---|
| africat | ||
| tests | ||
| .gitignore | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.md | ||
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.