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Text Analytics

/tɛkst əˈnæl.ɪ.tɪks/noun
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Text analytics is the automated process of examining large volumes of unstructured text data to uncover patterns, trends, and insights using computational methods. It builds on techniques from natural language processing and machine learning to extract meaning, such as sentiment or key entities, making it essential for data-driven decisions in today's information overload. This field has gained prominence with the explosion of digital content, transforming raw text into actionable intelligence for businesses and researchers alike.

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