Optimized Identification of Sentence-Level Multiclass Events on Urdu-Language-Text Using Machine Learning Techniques
TL;DR
This study uses machine learning to identify multiclass events in Urdu text, addressing data scarcity in low-resource languages. It focuses on sentence-level classification to improve event detection in social media content.
Optimized Identification of Sentence-Level Multiclass Events on Urdu-Language-Text Using Machine Learning Techniques
Somia Ali; Uzma Jamil; Muhammad Younas; Bushra Zafar; Muhammad Kashif Hanif
https://doi.org/10.1109/ACCESS.2024.3522992
Volume 13
In today’s digital world, social media platforms generate a plethora of unstructured information. However, for low-resource languages like Urdu, there is a scarcity of well-structured data for specific tasks such as event classification. Urdu, a language prominent in South Asia, has boasted a complex morphological structure with unique features but has lacked standard linguistic resources like dat...