bert-italian-uncased-iptc-headlines
This a bert-base-italian-uncased model fine-tuned for news headlines classification in Italian.
It predicts the top-level category of the IPTC subject taxonomy:
Class | English label |
---|---|
01000000 | Arts, Culture & Entertainment |
02000000 | Crime, Law & Justice |
03000000 | Disasters & Accidents |
04000000 | Economy, Business & Finance |
05000000 | Education |
06000000 | Environmental Issues |
07000000 | Health |
08000000 | Human Interest |
09000000 | Labour |
10000000 | Lifestyle & Leisure |
11000000 | Politics |
12000000 | Religion & Belief |
13000000 | Science & Technology |
14000000 | Social Issues |
15000000 | Sport |
16000000 | Unrest, Conflicts & War |
17000000 | Weather |
Authors
The NLP Odyssey Authors (Matteo Grella, Marco Nicola)
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