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Information Extraction

/ˌɪnfərˈmeɪʃən ɛkˈstrækʃən/noun
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Information extraction is the automated process of identifying and retrieving specific, structured data from unstructured or semi-structured sources like text, images, or web content, turning raw chaos into actionable insights. This technique has become essential in AI-driven applications, where it helps filter out noise to focus on key details, such as names or events, and has evolved to tackle real-time data floods in areas like social media analysis and business intelligence.

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