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"Sentiment Analysis" as a category for books refers to a collection of works that explore the computational study of opinions, emotions, and attitudes expressed in written text. This genre encompasses a range of topics, including the methodologies and algorithms used to identify and extract subjective information from various sources such as social media, reviews, and other textual data. Books in this category often delve into the applications of sentiment analysis in fields like marketing, customer service, and social sciences, providing insights into how businesses and researchers can leverage this technology to gauge public sentiment and make informed decisions. Additionally, these works may cover the challenges and ethical considerations involved in sentiment analysis, such as handling sarcasm, cultural nuances, and privacy concerns.

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