Sentiment Analysis is an AI technique that analyses emotions and opinions expressed in text data. Sentiment analysis can classify text as positive, negative, or neutral, and can identify the subject of the sentiment. Sentiment Analysis has applications in social media monitoring, customer feedback, and market research.
Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the…