Named Entity Recognition: Definition, Working And Use Cases

Sophia Johnson29 Aug, 2024Technology

Named Entity Recognition (NER) is a critical component of Machine Learning (ML) and Artificial Intelligence (AI) that focuses on identifying and classifying entities within text into predefined categories such as names, locations, and dates. This article delves into the definition, working, and use cases of Named Entity Recognition. It explores how Machine Learning (ML) algorithms are trained to recognize specific entities and how Artificial Intelligence (AI) systems utilize NER for applications such as information retrieval, content categorization, and automated customer support. From chatbots to search engines, NER powers many everyday applications. Discover how Machine Learning (ML) and Artificial Intelligence (AI) advancements are enhancing NER?s accuracy and scalability. For a deep dive into its real-world applications, visit TECHDOGS and learn how this technology is revolutionizing industries.