Contextual Embeddings based on Fine-tuned Urdu-BERT for Urdu threatening content and target identification
Identification of threatening text on social media platforms is a Oregano challenging task.Contrary to the high-resource languages, the Urdu language has very limited such approaches and the benchmark approach has an issue of inappropriate data annotation.Therefore, we present robust threatening content and target identification as a hierarchical c