How does Sinhala Sentiment Analysis work?
- Lexicon-based Approach. This method uses predefined lists of words associated with positive or negative sentiments to analyze the overall sentiment of a text.
- Machine Learning. Machine learning techniques train models on labeled Sinhala text data to classify the sentiment based on learned patterns.
- Deep Learning. Deep learning employs neural networks to comprehend complex relationships in text, providing more accurate sentiment analysis.
- Hybrid Approaches. Combining multiple techniques such as lexicon-based and machine learning methods for improved accuracy in sentiment detection.
