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beto-headlines-sentiment-analysis
finiteautomata/beto-headlines-sentiment-analysis
beto-headlines-sentiment-analysis is a text classification model from finiteautomata. Use it when you need a label for a piece of text. It is set up for transformers.
BERT classifier fine-tuned in a news headlines dataset annotated for target polarity.
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Model card
From the Hugging Face model README
Targeted Sentiment Analysis in News Headlines
BERT classifier fine-tuned in a news headlines dataset annotated for target polarity.
(details to be published)
Examples
Input is as follows
Headline [SEP] Target
where headline is the news title and target is an entity present in the headline.
Try
Alberto Fernández: "El gobierno de Macri fue un desastre" [SEP] Macri (should be NEG)
and
Alberto Fernández: "El gobierno de Macri fue un desastre" [SEP] Alberto Fernández (POS or NEU)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Mar 28, 2023