Detects mental-health conditions and cyberbullying in social-media posts. MentalBERT: 0.92 accuracy, 0.76 macro F1. Best Paper, AAAI-26.
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A Machine Learning Approach for Detection of Mental Health Conditions and Cyberbullying from Social Media
Paper • 2511.20001 • Published -
Jayi2424/mhdc-mentalbert
Text Classification • 0.1B • Updated • 15 -
Jayi2424/mhdc-mentalroberta
Text Classification • 0.1B • Updated • 15 -
Jayi2424/mhdc-bert-base
Text Classification • 0.1B • Updated • 17