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# Affective Norms Extrapolation Model for Spanish Language
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## Model Description
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This transformer-based model is designed to extrapolate affective norms for Spanish words, including metrics such as valence, arousal, concreteness, imageability, and familiarity. It has been finetuned from the "bert-base-spanish-wwm-cased" model (https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased), enhanced with additional layers to predict the affective dimensions. This model was first released as a part of the publication: "Extrapolation of affective norms using transformer-based neural networks and its application to experimental stimuli selection." (Plisiecki, Sobieszek; 2023) [ https://doi.org/10.3758/s13428-023-02212-3 ]
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# Affective Norms Extrapolation Model for Spanish Language
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## Disclaimer
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This model and other models from the word2vec line are finetuned to predict emotional load for singular words, not longer utterances.
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Their accuracy on long-form text is unknown.
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## Model Description
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This transformer-based model is designed to extrapolate affective norms for Spanish words, including metrics such as valence, arousal, concreteness, imageability, and familiarity. It has been finetuned from the "bert-base-spanish-wwm-cased" model (https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased), enhanced with additional layers to predict the affective dimensions. This model was first released as a part of the publication: "Extrapolation of affective norms using transformer-based neural networks and its application to experimental stimuli selection." (Plisiecki, Sobieszek; 2023) [ https://doi.org/10.3758/s13428-023-02212-3 ]
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