Sentiment Analysis, powered by Paesh, is a process that uses natural language processing and machine learning techniques to determine the sentiment or emotional tone behind text data, such as social media posts, customer reviews, and feedback. By analyzing the polarity of language (positive, negative, or neutral), businesses can gain valuable insights into customer opinions, brand perception, and market trends, enabling them to make informed decisions and tailor their strategies accordingly.