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phsieh/
vaccine-mandate-bertweet-classifier

Name: vaccine-mandate-bertweet-classifier
Availability: InStock

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phsieh/vaccine-mandate-bertweet-classifier

This is a BERTweet model fine-tuned to classify tweets related to vaccine mandates. The code and training data are available in the Github repository.

Model Details

Model Description

Finetuned from model: vinai/bertweet-base

Labels

LABEL_0: Not mandate-related
LABEL_1: Mandate-related

Example

Python

from transformers import pipeline
pipe = pipeline('text-classification', model="phsieh/vaccine-mandate-bertweet-classifier", return_all_scores=True)
pred = pipe("There is a debate about whether vaccination should be a personal choice.")
>>[[{'label': 'LABEL_0', 'score': 0.002914851764217019},
  {'label': 'LABEL_1', 'score': 0.9970851540565491}]]

Metrics

Accuracy: 93.15%
F1 score: 0.88

Citation

@article{hsieh2025psychological,
  title="Psychological reactance to vaccine mandates on Twitter: a study of sentiments in the United States",
  author="Hsieh, Pei-Hsun",
  journal="Journal of Public Health Policy",
  volume="46",
  issue="2",
  pages="269--283",
  year="2025",
  publisher={Springer}
}