Named Entity Recognition (NER): From Classical NLP to AI-Powered Extraction
Named Entity Recognition (NER) is a cornerstone of Natural Language Processing (NLP). It is the process of automatically identifying and classifying key elements in unstructured text into predefined categories—such as names of people, organizations, locations, dates, monetary values, and product names.
Without NER, search engines, recommendation engines, and automated document analysis systems would struggle to understand who, what, where, and when within text.
AI
NER
NLP
Machine Learning
Large Language Models