A Fusion of context-aware based BanglaBERT and Two-Layer Stacked LSTM Framework for Multi-Label Cyberbullying Detection

Researchers developed a hybrid AI model combining BanglaBERT and stacked LSTM networks to detect multiple types of cyberbullying in Bangla text simultaneously. The approach addresses limitations in existing single-label classification methods by recognizing that comments can contain overlapping forms of abuse like threats, hate speech, and harassment.