NAMED ENTITY RECOGNISATION

Authors

  • Sairam Thadakamalla 1B.tech Student, Department Of Electronics and Computer Engineering, J.B Institute of Engineering and Technology Author
  • Dr. Narsappa Reddy 2Associate Professor and HOD, Department Of Electronics and Computer Engineering, J.B Institute of Engineering and Technology Author

Abstract

With the increase in availability of data, extraction of useful information from this data has become
most important activity across all domains. When the data is available as documents written in natural language,
information extraction becomes more challenging. Named Entity recognition (NER) is a technique used
extensively for automatic extraction of useful information from unstructured natural language document
collections. Used both, for web applications as well as stand-alone systems, NER is considered as one of the
major step in Natural Language Processing (NLP) for analysis of text. This paper discusses basics of NER,
various algorithms used for NER and major applications and challenges in the field of NER.

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Published

2023-12-29

Issue

Vol. 8 No. 12 (2023): December

Section

Articles

How to Cite

NAMED ENTITY RECOGNISATION. (2023). International Journal of Multidisciplinary Engineering In Current Research, 8(12), 399-409. https://ijmec.com/index.php/multidisciplinary/article/view/392