How is sentiment analysis performed in Java?
Sentiment analysis in Java can be done using rule-based methods like searching for specific words like 'good' or 'bad'.
Thatâ€™s partially correct. While rule-based methods work for simple cases, sentiment analysis generally benefits from machine learning models that can capture nuances.
Can you explain the advantages of using machine learning over rule-based systems for sentiment analysis?