Stanford NER (Named Entity Recognizer) is a tool developed by the Stanford Natural Language Processing Group that identifies and classifies named entities in text into predefined categories such as persons, organizations, locations, and more. This powerful component of natural language processing enables applications to understand and interpret human language by extracting meaningful entities from unstructured text, which is essential for various tasks like information retrieval, question answering, and data analysis.
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