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Bibliometric analysis of natural language processing using CiteSpace and VOSviewer

Xiuming Chen · Wenjie Tian · Haoyun Fang

11 citations0/0 files storedNatural Language Processing Journal

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scientometrics and bibliometrics research Natural Language Processing Techniques Computational and Text Analysis Methods

Abstract

Natural Language Processing (NLP) holds a pivotal position in the domains of computer science and artificial intelligence (AI). Its focus is on exploring and developing theories and methodologies that facilitate seamless and effective communication between humans and computers through the use of natural language. First of all, In this paper, we employ the bibliometric analysis tools, namely CiteSpace and VOSviewer (Visualization of Similarities viewer) are used as the bibliometric analysis software in this paper to summarize the domain of NLP research and gain insights into its core research priorities. What is more, the Web of Science(WoS) Core Collection database serves as the primary source for data acquisition in this study. The data includes 4803 articles on NLP published from 2011 to May 15, 2024. The trends and types of articles reveal the developmental trajectory and current hotspots in NLP. Finally, the analysis covers eight aspects: volume of published articles, classification, countries, institutional collaboration, author collaboration network, cited author network, co-cited journals, and co-cited references. The applications of NLP are vast, spanning areas such as AI, electronic health records, risk, task analysis, data mining, computational modeling. The findings suggest that the emphasis of future research ought to focus on areas like AI, risk, task analysis, and computational modeling. This paper provides learners and practitioners with a comprehensive insight into the current status and emerging trends in NLP. • Analysis of 4803 literatures on natural language processing. • Research trends in natural language processing from 2011 to May 15, 2024. • Hot research topics and frontier trends in natural language processing.

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1956Three models for the description of language 2023Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review 2017Bibliometric visualisation: an application in tourism crisis and disaster management research 2019Visualization analysis of high-speed railway research based on CiteSpace 2016The evolution of patent mining: Applying bibliometrics analysis and keyword network analysis 2024Sustainable finance literacy and the determinants of sustainable investing 2020Climate change and carbon sink: a bibliometric analysis 2024Bibliometric analysis of sustainable tourism using CiteSpace

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