Named Entity Recognition in NLP In the realm of Natural Language Processing (NLP), one of the most intriguing tasks is extracting structured information from unstructured text. This process, known as Named Entity Recognition (NER), is akin to a treasure hunt within the vast sea of words, where the treasures are specific pieces of information categorized into predefined groups such as the names of people, organizations, locations, expressions of times, quantities, monetary values, and percentages. The Mechanism Behind Extracting Information At its core, NER involves meticulously scanning text to identify and classify named entities into these categories.