Entity extraction, also known as Entity Recognition, is a natural language processing (NLP) technique used to identify and classify key pieces of information (entities) within a document. These entities can include people, organizations, locations, dates, quantities, or other specific terms that are important for understanding the content.
The process of entity extraction involves analyzing a text and using algorithms to automatically recognize these entities and categorize them into predefined classes. This is often a critical first step in many NLP applications, such as text mining, sentiment analysis, and automated data extraction, enabling systems to process and utilize unstructured data more efficiently.