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COLLNET Journal of Scientometrics and Information Management cover

COLLNET Journal of Scientometrics and Information Management

(Since 2007)
Hybrid ·Peer-reviewed·ISSN (Online): 2168-930X·ISSN (Print): 0973-7766

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Half-Yearly Journal: Publishes research and articles on scientometrics and information management, including bibliometric analysis and quality assurance models.

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COLLNET Journal of Scientometrics and Information Management
Open Access Research Article

Research trends in the field of natural language processing : A scientometric study based on global publications during 2001-2020

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pp. 61–79Vol. 17Issue 1June 2023DOI: 10.47974/CJSIM-2022-0023XML
Published Online:
01 Jun 2023
Article type:
Research Article
Language:
EN
Article no.:
CJSIM-2022-0023
Pages:
61–79

Abstract

The study provides a quantitative and qualitative description of global research in “Natural Language Processing” ( NLP) using bibliometric methods. The analysis is based on publications data sourced from Scopus database for the period 2001-2020. The purpose of the study is to understand the status of NLP research at the global, national, institutional, and author level. The study highlights the productivity and performance of NLP research on a series of metrics as well as provides a visual view of collaborative network relationship between authors, research institutions, and leading countries using standard software tools. In addition, the study identified the leading players in NLP research such as key countries, institutions, authors, and areas of research. According to the study, the USA leads in global publications output as well as it leads in terms of relative citation index.

Keywords

Natural language processingGlobal publicationsScientometricsBibliometrics

References

[1] Banerjee, Dibyendu. (2020, April). Natural language processing (NLP) simplified : A stepby- step guide. A DSF Whitepaper. Retrieved August 3, 2021, from https://datascience. foundation/sciencewhitepaper/natural-language-processing-nlp-simplified-a-step-bystep- guide
[2] IBM Cloud Education. (2020, July) What is natural language processing? Retrieved August 3, 2021, from https://www.ibm.com/cloud/learn/natural-language-processing
[3] Raghavan, V., Gudivada, V., Govindaraju, V. & Rao, C.R. (2016, September 1). Cognitive computing: Theory and applications. (1st Edition). North-Holland.
[4] Rybkin, Yuriy. (2020, April). NLP applications in business. Retrieved August 3, 2021, from https://codeit.us/blog/nlp-applications-in-business.
[5] Reshamwala, A., Mishra, D. S. & Pawar, P. (2013, February). Review of natural language processing. Retrieved August 3, 2021, from https://www.researchgate.net/publication/ 235788362_REVIEW_ON_NATURAL_ LANGUAGE_PROCESSING.
[6] Xieling, C., Ding, R., Xu, K., Wang, S. & Hao, T. A bibliometric review of natural language processing empowered mobile computing. Wireless Communications and Mobile Computing, 14(1), 1-21 (2018, June). doi: 10.1155/2018/1827074.
[7] Chen, X., Xie, H., Wang, F.L., Liu, Z., Xu, J. & Hao T. (2018). A bibliometric analysis of natural language processing in medical research. BMC Med Inform Decis Mak., 18 (Suppl 1), 14. doi: 10.1186/s12911-018-0594-x.
[8] Wang, J., Deng, H., Liu, B., Hu, A., Liang, J., Fan, L., Zheng, X., Wang, T. & Lei, J. Systematic evaluation of research progress on natural language processing in medicine over the past 20 years: Bibliometric study on PubMed. J Med Internet Res., 22(1) (2020, Jan).
e16816. doi: 10.2196/16816.
[9] Chen, X., Xie, H., Cheng, G., Poon, L. K. M., Leng, M., & Fu, L. Wang. Trends and features of the applications of natural language processing techniques for clinical trials text snalysis. Applied Sciences, 10(6), 2157 (2020). https://doi.org/10.3390/app1006215.
[10] Lopez-Martinez, R.E. & Sierra, G., Research trends in the international literature on natural language processing, 2000-2019: A bibliometric Study. Journal of Scientometric Research, 9(3), 310-318 (2020). doi:10.5530/jscires.9.3.38.BibTex.
[11] Dhawan, S.M., Gupta, B.M., & Mamdapur, G.M., Quantum machine learning: A scientometric assessment of global publications during 1999-2020. International Journal of Knowledge Content Development & Technology, 11(3), 29-44 (2021).

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