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    <abstract>This research introduces a bilingual dataset comprising 27,456 entries for Arabic and 10,036 entries for English, annotated for emotions and hope speech, addressing the scarcity of multi-emotion (Emotion and hope) datasets. The dataset provides comprehensive annotations capturing emotion intensity, complexity, and causes, alongside detailed classifications and subcategories for hope speech. To ensure annotation reliability, Fleiss’ Kappa was employed, revealing 0.75-0.85 agreement among annotators both for Arabic and English language. The evaluation metrics (micro-F1-Score=0.67) obtained from the baseline model (i.e., transformer-based AraBERT model) validate that the data annotations are worthy.</abstract>
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%0 Conference Proceedings
%T EmoHopeSpeech: An Annotated Dataset of Emotions and Hope Speech in English and Arabic
%A Zaghouani, Wajdi
%A Biswas, Md. Rafiul
%Y Angelova, Galia
%Y Kunilovskaya, Maria
%Y Escribe, Marie
%Y Mitkov, Ruslan
%S Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
%D 2025
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F zaghouani-biswas-2025-emohopespeech
%X This research introduces a bilingual dataset comprising 27,456 entries for Arabic and 10,036 entries for English, annotated for emotions and hope speech, addressing the scarcity of multi-emotion (Emotion and hope) datasets. The dataset provides comprehensive annotations capturing emotion intensity, complexity, and causes, alongside detailed classifications and subcategories for hope speech. To ensure annotation reliability, Fleiss’ Kappa was employed, revealing 0.75-0.85 agreement among annotators both for Arabic and English language. The evaluation metrics (micro-F1-Score=0.67) obtained from the baseline model (i.e., transformer-based AraBERT model) validate that the data annotations are worthy.
%U https://aclanthology.org/2025.ranlp-1.162/
%P 1406-1412

Markdown (Informal)

[EmoHopeSpeech: An Annotated Dataset of Emotions and Hope Speech in English and Arabic](https://aclanthology.org/2025.ranlp-1.162/) (Zaghouani & Biswas, RANLP 2025)

• EmoHopeSpeech: An Annotated Dataset of Emotions and Hope Speech in English and Arabic (Zaghouani & Biswas, RANLP 2025)

ACL

• Wajdi Zaghouani and Md. Rafiul Biswas. 2025. EmoHopeSpeech: An Annotated Dataset of Emotions and Hope Speech in English and Arabic. In Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era, pages 1406–1412, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.