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# Model Card for uvegesistvan/wildmann_german_proposal_multilingual_HU_PL_SK_CS
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## Model Overview
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This model is a multi-class emotion classifier trained on German text translated equally into Hungarian, Polish, Slovak, and Czech. It identifies nine distinct emotional states in text. The dataset combines synthetic and original German sentences translated into four target languages, offering insights into multilingual emotion classification in a cross-linguistic setting.
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## Model Overview
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This model is a multi-class emotion classifier trained on German text translated equally into Hungarian, Polish, Slovak, and Czech. It identifies nine distinct emotional states in text. The dataset combines synthetic and original German sentences translated into four target languages, offering insights into multilingual emotion classification in a cross-linguistic setting.
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