How does Gujarati Sentiment Analysis work?
- Lexicon-based Analysis. This method uses predefined lists of words and their associated sentiment scores to classify the overall sentiment of the text.
- Machine Learning. Machine learning techniques involve training algorithms on labeled datasets to classify sentiment based on patterns learned from the data.
- Deep Learning. Deep learning approaches use neural networks to analyze text data for complex sentiment patterns, often yielding more accurate results than traditional methods.
- Rule-based Systems. These systems apply specific linguistic rules and heuristics to interpret sentiment, allowing for customizable sentiment analysis tailored to specific contexts.
