How does named entity recognition (NER) work?
Named Entity Recognition (NER) is an essential task of Natural Language Processing (NLP) that is focused on identifying and classifying particular parts of text, including names of individuals, organizations locations, dates, and numbers. In essence, NER helps transform unstructured text into structured data, by identifying relevant entities. For instance for instance, in the phrase "Apple launched the iPhone in California in 2007 https://www.sevenmentor.com/da....ta-science-course-in
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