Sinhala Language Facebook Data

Research on Sinhala language Facebook data focuses on leveraging this readily available resource to advance natural language processing (NLP) capabilities for this low-resource language. Current efforts concentrate on developing and improving Sinhala language models for tasks such as sentiment analysis (using architectures like Bidirectional LSTMs and Capsule networks), hate speech detection (employing models such as DistilRoBERTa and LSTMs), and noise reduction in speech recognition. These advancements are crucial for bridging the digital divide and enabling more effective NLP applications in Sinhala, impacting areas like misinformation detection and social media monitoring.