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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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- The performance of the model on an unseen test set is as follows:
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- This is a BERT model trained on the US Comparative Agendas Project dataset for the U.S. with annotations for the top level taxonomy covering 20 policy areas and Others for non-policy related text.
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- The model can be used to identify policy (non-policy)issues political discourse.
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  ## Model performance
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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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