👉 Entities engineering is a critical process in natural language processing (NLP) that involves identifying, extracting, and categorizing key elements or "entities" from unstructured text into predefined categories. These entities can range from people and organizations to locations, dates, and specific attributes or properties. The goal is to transform raw textual data into structured information that can be easily analyzed, queried, and integrated into databases or knowledge graphs. By accurately recognizing and classifying entities, entities engineering enhances the effectiveness of downstream NLP tasks such as information retrieval, sentiment analysis, and question answering, ultimately enabling more intelligent and context-aware applications.
