Refers to real-world objects identifiable within text, including persons, locations, organizations, and products, among others. Central to information extraction, named entity recognition (NER) is a process where AI algorithms identify and categorize these entities based on context. This technique enhances data’s semantic understanding, aiding in tasks such as content categorization, relationship extraction, and data organization. By pinpointing specific entities, NER provides a structured interpretation of unstructured data, crucial for various applications like search engines, content recommendation systems, and customer service automation.
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