A Survey of Named Entity Recognition Techniques

The extraction of relevant information from data has become the most significant activity across all domains as data availability has increased. Information extraction becomes more difficult when data is accessible in the form of documents written in natural language. Named Entity Recognition NER is a technique for extracting meaningful information from unstructured natural language document collections that is widely utilised. NER is one of the primary steps in Natural Language Processing NLP for text analysis, and it is used for both online applications and stand alone systems. This paper covers the fundamentals of NER as well as the various NER algorithms. Preeti Sondhi | Adil Ayoub "A Survey of Named Entity Recognition Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd47493.pdf Paper URL : https://www.ijtsrd.com/other-scientific-research-area/other/47493/a-survey-of-named-entity-recognition-techniques/preeti-sondhi