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Timothy Allen c9a9e24619 Fix evaluation, as well as progress reporting.
2023-12-19 09:26:27 +02:00
africat
Fix evaluation, as well as progress reporting.
2023-12-19 09:26:27 +02:00
tests
v0.1.0
2023-12-01 21:24:42 +02:00
.gitignore
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2023-12-13 20:29:55 +02:00
Makefile
v0.1.1
2023-12-01 21:27:25 +02:00
poetry.lock
Add dependencies
2023-12-01 22:18:23 +02:00
pyproject.toml
v0.1.4
2023-12-13 20:28:30 +02:00
README.md
Metadata
2023-12-13 20:29:55 +02:00

README.md

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.
Readme 148 KiB
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Python 99.4%
Makefile 0.6%