A systematic Survey of Natural Language Processing (NLP) Models & it’s Application

Authors

  • Nikita Saxena Research Scholar, RITS, Bhopal, M.P., India.

Keywords:

Natural Language Processing, Application of NLP, NLP models

Abstract

Computers may be used to analyse texts using "Natural Language Processing" (NLP). NLP is concerned with learning about the ways in which people perceive and express themselves via language. Computer systems can interpret and modify the natural languages to execute a variety of desired activities if the right tools and procedures are developed. This paper will introduce you with the natural processing language and it brief about the Different models of NLP, it also explores the applications of NLP.

References

[1] V. K. Pandey and P. Rajput, “Review on natural language processing,” J. Crit. Rev., vol. 7, no. 10, pp. 1170–1174, 2020, doi: 10.31838/jcr.07.10.230.

[2] P. Chithra and M. Henila, “International Journal of Computer Sciences and Engineering Open Access,” Int. J. Comput. Sci. Eng., vol. 6, no. 10, pp. 628–632, 2019, doi: 10.26438/ijcse/v6i1.161167.

[3] Y. A. Solangi, Z. A. Solangi, S. Aarain, A. Abro, G. A. Mallah, and A. Shah, “Review on Natural Language Processing (NLP) and Its Toolkits for Opinion Mining and Sentiment Analysis,” 2018 IEEE 5th Int. Conf. Eng. Technol. Appl. Sci. ICETAS 2018, no. November, pp. 1–4, 2019, doi: 10.1109/ICETAS.2018.8629198.

[4] N. V. Devi and R. Ponnusamy, “A Systematic Survey of Natural Language Processing ( NLP ) Approaches in International Journal of Computer Sciences and Engineering Open Access A Systematic Survey of Natural Language Processing ( NLP ) Approaches in Different Systems,” no. January, 2018.

[5] D. Khurana, A. Koli, K. Khatter, and S. Singh, “Natural Language Processing : State of The Art , Current Trends and Challenges Department of Computer Science and Engineering Accendere Knowledge Management Services Pvt . Ltd ., India Abstract,” Sentim. Anal. has become one Most profound Res. areas with increasing growth Soc. media web. Nowadays, millions users Exch. their views, ideas, expressions, Feel. Opin. Soc. media like twitter Facebook. Se, no. Figure 1, 2017.

[6] D. Litman, “Natural language processing for enhancing teaching and learning,” 30th AAAI Conf. Artif. Intell. AAAI 2016, pp. 4170–4176, 2016.

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Published

13-09-2022

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Section

Articles

How to Cite

[1]
Nikita Saxena 2022. A systematic Survey of Natural Language Processing (NLP) Models & it’s Application. International Journal of Innovations in Science, Engineering And Management. (Sep. 2022), 25–31.