Named Entity Recognition (NER) is a natural language processing technique that aids in identifying and categorizing entities in text, such as people, organizations, locations, or dates. It aids in understanding the structure of unstructured text data, enabling NLP systems to extract relevant information from large volumes of text. It involves breaking down text into tokens, assigning part-of-speech (POS) tags, and dividing the text into chunks based on POS tags.