How does Kannada Sentiment Analysis work?
- Lexicon-based Approach. This method uses a predefined dictionary of words associated with sentiments to determine the overall sentiment of a text.
- Machine Learning Models. Utilizes algorithms that are trained on labeled datasets to classify sentiments in Kannada texts based on learned patterns.
- Deep Learning Techniques. Incorporates neural networks, especially recurrent neural networks (RNNs) and transformers, to capture complex sentiment structures in longer texts.
- Hybrid Approaches. Combines lexicon-based and machine learning techniques to leverage the strengths of both methods for improved sentiment classification.
