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- W3118781683 abstract "Abstract Recent advances in machine learning have led to computer systems that are humanlike in behavior. Sentiment analysis, the automatic determination of emotions in text, is allowing us to capitalize on substantial previously unattainable opportunities in commerce, public health, government policy, social sciences, and art. Further, analysis of emotions in text, from news to social media posts, is improving our understanding of not just how people convey emotions through language but also how emotions shape our behavior. This article presents a sweeping overview of sentiment analysis research that includes: the origins of the field, the rich landscape of tasks, challenges, a survey of the methods and resources used, and applications. We also discuss how, without careful fore-thought, sentiment analysis has the potential for harmful outcomes. We outline the latest lines of research in pursuit of fairness in sentiment analysis." @default.
- W3118781683 created "2021-01-18" @default.
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- W3118781683 date "2021-01-01" @default.
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- W3118781683 title "Sentiment analysis" @default.
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- W3118781683 doi "https://doi.org/10.1016/b978-0-12-821124-3.00011-9" @default.
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