Sinhala Tweet

Research on Sinhala tweets focuses on leveraging natural language processing (NLP) techniques and machine learning to analyze their content for various purposes, including mental health screening and the detection of offensive language and misinformation. Current studies employ neural network architectures, particularly those incorporating attention mechanisms, along with classical machine learning methods, to achieve high accuracy in tasks such as depression symptom identification and hate speech detection. This work is significant because it addresses the scarcity of resources for low-resource languages like Sinhala, contributing to the development of more inclusive and effective NLP tools for diverse populations and enabling proactive interventions in areas like mental health and online safety.