How does named entity recognition (NER) work?
Named Entity Recognition (NER) is a task within information extraction which aims to find and classify entities that are mentioned in unstructured texts into predefined categories. These include person names, organization names, locations, dates and numerical values.NER is an important component of many NLP applications including text summarization and sentiment analysis, question answering,...