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This model aims at classifying arabic text into its corresponding set of emotions by fine-tuning a variant of BERT pre-trained on arabic twitter data.

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Repository: https://github.com/TomoyeSaa/Emotion-Detection-for-Arabic-Language

Evaluation

Jaccard accuracy is the main eval metric and the model achieved 56.12%

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Text Classification

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saadMouraf
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bert-based-emotion-detection-ar

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Evaluation

Dataset used to train saadMouraf/bert-based-emotion-detection-ar