Named entity recognition (NER), also known as entity chunking/extraction, is a popular technique used in information extraction to identify and segment the named entities and classify or categorize them under various predefined classes.

Which algorithm is used for NER implementation and how do NER works?

Named entity recognition (NER), also known as entity chunking/extraction, is a popular technique used in information extraction to identify and segment the named entities and classify or categorize them under various predefined classes.

Briefly, how does NER work? What are the main ideas behind it? And which algorithms are used to perform NER?

Named entity recognition (NER), also known as entity chunking/extraction, is a popular technique used in information extraction to identify and segment the named entities and classify or categorize them under various predefined classes.

Which algorithm is used for NER implementation and how do NER works?

Named entity recognition (NER), also known as entity chunking/extraction, is a popular technique used in information extraction to identify and segment the named entities and classify or categorize them under various predefined classes.

Which algorithm is used for NER implementation and how do NER works?