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)

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Safetensors

Model size

110M params

Tensor type

I64

F32

Inference Examples

Text Classification

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