Named entity recognition (NER) sometimes referred to as entity chunking, extraction, or identification; is a process that identifies and categorizes key information (named entities) in text into pre-defined categories such as:
- persons
- organizations
- locations
- expressions of times
- quantities
- monetary values
- percentages, etc.
NER is used in many fields of Natural Language Processing (NLP), and it can help answer many real-world questions.
Published on: 2022-03-28
Updated on: 2022-06-17
