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'''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.
文本情感分析（也称为意见挖掘）是指用自然语言处理、文本挖掘以及计算机语言学等方法来识别、提取、量化和研究原素材中的情感状态和主观信息。情感分析被广泛应用于客户材料的声音，如评论和调查回应，在线和社交媒体，以及从市场营销到客户服务到临床医学的各种应用的医疗材料。
== Examples ==
== Examples ==