How does Tamil Sentiment Analysis work?
- Lexicon-Based Approaches. These methods use predefined lists of words associated with positive or negative sentiments to analyze text.
- Machine Learning Techniques. Machine learning models are trained on labeled datasets to classify sentiments based on patterns learned from the data.
- Deep Learning Models. Deep learning techniques, such as neural networks, are employed for more complex sentiment analysis applications, capable of understanding context and subtlety in the text.
- Hybrid Approaches. These methods combine both lexicon-based and machine learning techniques to enhance accuracy and reliability in sentiment classification.
