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Sentiment Analysis refers to the use of natural language processing, text analysis, and computational linguistics to identify and extract subjective information from source materials. It involves determining the writer's or speaker's perspective or attitude towards certain topics or the overall context. By analyzing the emotional tone, opinions, and evaluations, Sentiment Analysis can provide valuable insights for businesses, enabling them to make informed decisions, understand customer feedback, and monitor brand reputation. In the hierarchy of Technology, Artificial Intelligence, and Machine Learning, Sentiment Analysis is a specialized application that leverages these advanced techniques to process, understand, and interpret human language in a meaningful way, thereby offering actionable insights for various industries and domains.