<ul><li>Named Entity Recognition (NER) is a natural language processing technique that automatically identifies and classifies important pieces of information in text.</li><li>NER is useful for pulling structured data out of unstructured text, and spaCy is a popular Python library for NLP that can handle this task efficiently.</li><li>spaCy comes with pre-trained models that can recognize entities like people, places, organizations, etc., making it easy to extract key information from text.</li><li>spaCy uses machine learning to identify entities based on patterns in words, shapes, and positions in sentences, providing a quick and accurate way to extract entities.</li></ul>

How to Extract Key Information from Text Using Named Entity Recognition (NER) with spaCy

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