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LLMDH/French-TV-Headline-Classification
French-TV-Headline-Classification is a text classification model from LLMDH. Use it when you need a label for a piece of text. It is set up for transformers.
French-TV-Headline-Classification is an encoder model specialized for the classification of French news headlines.
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From the Hugging Face model README
French-TV-Headline-Classification is an encoder model specialized for the classification of French news headlines.
The model incorporate two different sets of categories: thematics and non-thematics. Headlines fill multiple functions in the informational design of television and not all of them are straight about actual topics.
This covers all headlines about a classifiable event. The classification relies not only on the actual content but also on very distinctive manneer of phrasing the news, as the headlines are likely issues by different news service.
Typically crime news ("fait divers") uses a more daily/informal language than political news.
The available thematic categories are:
This includes headlines that are not directly describing an event but filling multiple meta-communication tasks helping to better contextualize the news broadcasts.
The available non-thematic categories are: