Named Entity Recognition (NER) is a type of artificial intelligence that can identify and categorize named entities in text - such as names, locations, and organizations. Our NER is like a super-smart librarian that knows everyone's name, even if they don't know it themselves.
It works by analyzing text and assigning a label to each word or phrase that represents a named entity. For example, if we say "Barack Obama" it would label "Barack" as a PERSON.
But don't just take our word for it, see some examples of our NER in action.
Want to know more about how NER is used in real-world applications? Check out our use cases.
Or, if you're feeling extra curious, you can ask us some questions.