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
International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 5 Issue 6, September-October 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD47493 | Volume – 5 | Issue – 6 | Sep-Oct 2021
Page 760
A Survey of Named Entity Recognition Techniques
Preeti Sondhi
1
, Adil Ayoub
2
1Assistant Professor, 2M Tech Scholar,
1,2Universal Group of Institutions, Lalru, Punjab, India
ABSTRACT
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.
KEYWORDS: Natural Language Processing, Part of Speech, Named
Entity Recognition, Information Extraction
How to cite this paper: 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,
pp.760-763,
URL:
www.ijtsrd.com/papers/ijtsrd47493.pdf
Copyright © 2021 by author (s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an
Open Access article
distributed under the
terms of
the Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/by/4.0)
INTRODUCTION
The process of identifying and classifying all proper
nouns in a text document or a sentence into specified
classes such as people, pla