CAP_classifier

This is a transformers 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.

This model was trained specifically for additional analyses presented in this paper.

Model performance

The model performance on unseen test set is as follows:

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Citation

If you find this model useful for your work, please cite:

@article{aroyehun2025computational,
  title={Computational analysis of US congressional speeches reveals a shift from evidence to intuition},
  author={Aroyehun, Segun T and Simchon, Almog and Carrella, Fabio and Lasser, Jana and Lewandowsky, Stephan and Garcia, David},
  journal={Nature Human Behaviour},
  year={2025},
  doi={10.1038/s41562-025-02136-2},
  url={https://doi.org/10.1038/s41562-025-02136-2}  
}