NER identifies and classifies named entities in text into predefined categories such as persons, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc. This technique is invaluable for extracting specific pieces of information from articles, making it easier to index, search, and analyze conten

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Extracting keywords from text is essential for understanding the main topics discussed in an article. This technique helps in identifying key terms that define the subject matter, which can be used for SEO optimization, content tagging, and summarization purposes. Keyword extraction is a core component of many NLP applications, including information retrieval and content recommendation systems

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