How is sentiment analysis performed in Java?
Sentiment analysis in Java is performed by analyzing the text for keywords and using machine learning models to predict the sentiment. Libraries like Stanford NLP and Apache OpenNLP are commonly used.
Thatâ€™s correct. Sentiment analysis typically involves classifying text into positive, negative, or neutral sentiments.
Can you describe the role of training data in building a sentiment analysis model?