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  # PARTYPRESS multilingual
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- Fine-tuned model in seven languages on texts from nine countries (Austria, Denmark, Germany, Ireland, Netherlands, Poland, Spain, Sweden, UK), based on [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased). Used in Erfort et al. (2023), building on the PARTYPRESS database. For the downstream task of classyfing press releases from political parties into 23 unique policy areas we achieve a performance comparable to expert human coders.
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  ## Model description
 
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  # PARTYPRESS multilingual
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+ Fine-tuned model in seven languages on texts from nine countries (Austria, Denmark, Germany, Ireland, Netherlands, Poland, Spain, Sweden, UK), based on [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased). Used in [Erfort et al. (2023)](https://doi.org/10.1177/20531680231183512), building on the PARTYPRESS database. For the downstream task of classyfing press releases from political parties into 23 unique policy areas we achieve a performance comparable to expert human coders.
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  ## Model description