AraNLP at MAHED 2025 Shared Task: Using AraBERT for Text-based Hate and Hope Speech Classification

Résumé

The AraNLP system is designed for the MAHED Shared Task 2025 on text-based hate and hope classification in Arabic.The challenge was divided into three subtasks:(1) Text-based Hate and Hope Speech Classification, (2) Emotion, Offensive, and Directed Hate Detection (Multitask), and (3) Multimodal Hateful Meme Detection.The AraNLP system based on the AraBERT model achieved Macro F1-score 65% for Sub-task 1 and the results are published in the leaderboard, with rank 20.After submitting the results, the proposed model was updated to improve its performance and achieved Macro F1-score 70%, this makes the AraNLP system nearly equivalent to rank 4 in the leaderboard.

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