Any word with a distinctive proper name which represents a person, organization, location, etc. is a Named Entity. Named Entity Recognition is a subtask of information extraction and the process of identifying words that are named entities in a given text. It aims to locate and classify named entities mentioned in unstructured text into predefined
categories such as person names, organizations, locations, time expressions, quantities, numbers, units, etc. A NER system takes an unlabeled text as input and labels the entity mentioning the named entity types. Extracting the main entities in a text helps us sort complex data and detect important information, which is crucial while dealing with large datasets. For Details Please Download PDF.