Named Entity Recognition (NER) is a subtask of natural language processing (NLP) that involves identifying and classifying named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, dates, quantities, monetary values, percentages, etc. It is commonly used to extract structured information from text, improve search engine accuracy, and enhance customer service chatbots.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
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