Named Entity Recognition: A Practitioner's Guide to NLP

In any text document, there are particular terms that represent specific entities that are more informative and have a unique context. These entities are known as named entities, which more specifically refer to terms that represent real-world objects like people, places, organizations, and so on, which are often denoted by proper names. A naive approach could be to find these by looking at the noun phrases in text documents. Named entity recognition (NER), also known as entity chunking/extraction, is a popular technique used in information extraction to identify and segment the named entities and classify or categorize them under various predefined classes. SpaCy has some excellent capabilities for named entity recognition.