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This is a BERT model trained on the U.S. Comparative Agendas Project (CAP) dataset, annotated with a top-level taxonomy covering 20 policy areas, as well as an "Others" category for non-policy-related text. The model is designed to identify policy and non-policy issues in political discourse.
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## Model performance
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This model was trained specifically for additional analyses presented in this [paper](https://doi.org/10.48550/arXiv.2405.07323).
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## Citation
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If you find this model useful for your work, please consider citing:
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```bibtex
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This is a BERT model trained on the U.S. Comparative Agendas Project (CAP) dataset, annotated with a top-level taxonomy covering 20 policy areas, as well as an "Others" category for non-policy-related text. The model is designed to identify policy and non-policy issues in political discourse.
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This model was trained specifically for additional analyses presented in this [paper](https://doi.org/10.48550/arXiv.2405.07323).
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## Model performance
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</div>
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## Citation
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If you find this model useful for your work, please consider citing:
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```bibtex
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