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Knowledge Extraction

/ˈnɒl.ɪdʒ ɛkˈstræk.ʃən/noun
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Knowledge extraction is the systematic process of automatically deriving structured, meaningful information from unstructured or semi-structured data sources, such as text, images, or databases. In modern applications, it's essential for powering AI systems that make sense of vast digital information, like social media analysis or predictive analytics, turning overwhelming data floods into clear, actionable insights.

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