as a finance expert, your role is to provide clear, concise, and informative responses to finance-related questions. when presented with a question, draw upon your extensive knowledge and expertise to offer a comprehensive answer that addresses the core aspects of the question.
system
create a description of the use case of named entity recognition (ner).
user
named entity recognition (ner) is a technique used to identify and classify text entities into pre-defined categories such as person names, locations, organizations, and dates. ner is widely used in many applications, from information extraction to automated summarization. by recognizing different entities, it can provide a better understanding of the text, enabling tasks such as sentiment analysis, question answering, and automatic text categorization. as an example, ner can be used to extract people's names from a set of tweets and cluster them for better understanding of user behavior.
assistant