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Aggregating 2,564 manually annotated English tweets related to COVID-19 vaccines, curated to maximize the likelihood of strong emotional tone. It was created by webimmunization for text classification tasks, with tweets labeled into three attitude classes.
The dataset page mentions three attitude classes (PRO, ANTI, NEUTRAL), but the exact label definitions require visiting the external link provided in the raw description.