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Optimized Identification of Sentence-Level Multiclass Events On Urdu-Language-Text Using Machine Learning Techniques by jahongir is a document available to read on EtoBox.

This research focuses on optimizing sentence-level multiclass event classification for the Urdu language using machine learning techniques. A dataset of 103,771 sentences from various social media platforms was utilized, achieving significant accuracy improvements with deep learning models, particularly the transformer-based XLM-R+ model at 89.8%. The study addresses the challenges of low-resource languages in NLP and contributes to the advancement of event classification methodologies for Urdu text.

Author

jahongir

Language

EN