Open Access   Article Go Back

Natural Language Processing: Comprehensive Review

inothina V1

Section:Review Paper, Product Type: Journal Paper
Volume-07 , Issue-09 , Page no. 84-86, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si9.8486

Online published on Apr 30, 2019

Copyright © Vinothina V . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Vinothina V, “Natural Language Processing: Comprehensive Review,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.09, pp.84-86, 2019.

MLA Style Citation: Vinothina V "Natural Language Processing: Comprehensive Review." International Journal of Computer Sciences and Engineering 07.09 (2019): 84-86.

APA Style Citation: Vinothina V, (2019). Natural Language Processing: Comprehensive Review. International Journal of Computer Sciences and Engineering, 07(09), 84-86.

BibTex Style Citation:
@article{V_2019,
author = {Vinothina V},
title = {Natural Language Processing: Comprehensive Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {07},
Issue = {09},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {84-86},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=960},
doi = {https://doi.org/10.26438/ijcse/v7i9.8486}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i9.8486}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=960
TI - Natural Language Processing: Comprehensive Review
T2 - International Journal of Computer Sciences and Engineering
AU - Vinothina V
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 84-86
IS - 09
VL - 07
SN - 2347-2693
ER -

           

Abstract

The emerging and most popular processing technique of Natural Language Processing (NLP) deals with computational algorithms to analyze and process human language. It also represents human language. The application of NLP enabled system ranges from search engine to voice assistant, machine translation and dialogue generation. It is concerned with interaction between computers and natural language such as human language. High-revenue non NLP-domain such as finance, government surveillance or marketing is the areas benefited from NLP. The main objective of this paper to review state-of-the art of NLP, its benefits and various processes in NLP enable the systems to deal with real-time data.

Key-Words / Index Term

Machine Learning, Internet of Things, Artificial Intelligence, Google, Voice Assistant

References

[1] E.U Reshma, P C Remya, A review of different approaches in natural language interfaces to databases, International Conference on Intelligent Sustainable Systems (ICISS), https://doi.org/10.1109/ISS1.2017.8389287,IEEE,2017.
[2] Joakim NIVRE, On Statistical Methods in Natural Language Processing.
[3] Hitoshi Isahar, Resource-based Natural Language Processing, International Conference on Natural Language Processing and Knowledge Engineering, https://doi.org/10.1109/NLPKE.2007.4368002, IEEE,2007.
[4] Ponnusamy, Ramalingan, A Systematic Survey of Natural Language Processing (NLP) Approaches in Different Systems, vol 4,2018.
[5] Machine Learning in the real world: https://techcrunch.com/2015/11/26/machine-intelligence-in-the-real-world/
[6] Daniel W, Otter, Julian R..Medina, Jugal K.Kalita, “A Survey of the usagse of Deep Learning in Natural Language Processing”, Computation and Language, Cornell University.
[7] Webber B.L. (1986) Natural Language Processing: A Survey. In: Brodie M.L., Mylopoulos J. (eds) On Knowledge Base Management Systems. Topics in Information Systems. Springer, New York, NY.
[8] Graeme Ritchie, “Survey of Natural Language Processing”, ACM Newsletter Issue 80, pp, 66, 1982.
[9] M.VasunthraDevi, Dr.R.Ponnusamy, “A Systematic survey on Natural Language Processing Approaches in Different systems”, International Journal of Computer Science and Engineering Vol 4, 7,pp-192-198.
[10] Natural Language Processing is Fun: https://medium.com/@ageitgey/natural-language-processing-is-fun-9a0bff37854e
[11] OLaronke G.Iroju, Janet O.Olaleke, “A Systematic Review of Natural Language Processing in Healthcare,I.J Information Technology and Computer Science, 08,pp-44-50,2015.
[12] Dr. Khaled M. Alhawiti,” Natural Language Processing and its Use in Education”, International Journal of Advanced Computer Science and Applications, Vol.5, No.12,2014.
[13] Machine learning in Business: https://emerj.com/ai-sector-overviews/machine-learning-in-finance/
[14] https://emerj.com/ai-sector-overviews/natural-language-processing-banking-current-applications/
[15] Cyril Joe Baby, Faizan Ayyub Khan, J. N. Swathi, “Home Automation using IoT and Chatbot using Natural Language Processing”, International Conference on Innocations in Power and Advanced computing Technologies ISBN, 978-1-5090-5682-8.
[16] M A Moni, “Application of Natural Language Processing Techniques in e-Governance”, International conference on Language and Development, 2009.