'''Sentiment analysis''' (also known as '''opinion mining''' or '''emotion AI''') is the use of [[natural language processing]], [[Text analytics|text analysis]], [[computational linguistics]], and [[biometrics]] to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to [[voice of the customer]] materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from [[marketing]] to [[Customer relationship management|customer service]] to clinical medicine. | '''Sentiment analysis''' (also known as '''opinion mining''' or '''emotion AI''') is the use of [[natural language processing]], [[Text analytics|text analysis]], [[computational linguistics]], and [[biometrics]] to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to [[voice of the customer]] materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from [[marketing]] to [[Customer relationship management|customer service]] to clinical medicine. |