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Federal University of Rio Grande -FURG
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Combining blockchain activity with social media sentiment reveals predictive signals about Bitcoin market emotions that traditional price prediction models overlook.
Zero-shot semantic descriptions can match the performance of traditional supervised models in object re-identification, while providing clearer interpretability.