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

IF 1.6 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE COLLNET Journal of Scientometrics and Information Management Pub Date : 2023-01-01 DOI:10.47974/cjsim-2022-0023
B. Gupta, S. Dhawan, G. M. Mamdapur
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引用次数: 0

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.
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自然语言处理领域的研究趋势:基于2001-2020年全球出版物的科学计量学研究
本研究使用文献计量学方法对全球自然语言处理(NLP)研究进行了定量和定性描述。该分析基于2001-2020年期间来自Scopus数据库的出版物数据。本研究的目的是了解NLP研究在全球、国家、机构和作者层面的现状。该研究在一系列指标上强调了NLP研究的生产力和表现,并提供了作者、研究机构和主要国家之间使用标准软件工具的协作网络关系的可视化视图。此外,该研究还确定了NLP研究的主要参与者,如主要国家、机构、作者和研究领域。根据这项研究,美国在全球出版物产出方面领先,在相对引用指数方面领先。
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COLLNET Journal of Scientometrics and Information Management
COLLNET Journal of Scientometrics and Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-
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