Named Entity Recognition

A natural language processing technique that identifies and classifies named entities in text into predefined categories such as person names, locations, organizations, quantities, and domain-specific terms. In accessibility applications, NER can be used to extract meaningful attributes from user-generated text — such as product color, material, or style from customer reviews — to augment automated image descriptions. NER models are typically built on neural network architectures like Bidirectional LSTM-CNNs that detect both word-level and character-level features from input text.