Trends and Features of the Applications of Natural Language Processing Techniques for Clinical Trials Text Analysis
Source abstract
Abstract
Natural language processing (NLP) is an effective tool for generating structured information from unstructured data, the one that is commonly found in clinical trial texts. Such interdisciplinary research has gradually grown into a flourishing research field with accumulated scientific outputs available. In this study, bibliographical data collected from Web of Science, PubMed, and Scopus databases from 2001 to 2018 had been investigated with the use of three prominent methods, including performance analysis, science mapping, and, particularly, an automatic text analysis approach named structural topic modeling. Topical trend visualization and test analysis were further employed to quantify the effects of the year of publication on topic proportions. Topical diverse distributions across prolific countries/regions and institutions were also visualized and compared. In addition, scientific collaborations between countries/regions, institutions, and authors were also explored using social network analysis. The findings obtained were essential for facilitating the development of the NLP-enhanced clinical trial texts processing, boosting scientific and technological NLP-enhanced clinical trial research, and facilitating inter-country/region and inter-institution collaborations.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Computational and Text Analysis Methods · scientometrics and bibliometrics research · Topic Modeling
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mathematics and Information Technology, The Education University of Hong Kong, Tai Po, New Territories 999077, Hong Kong, China
Department of Computing and Decision Sciences, Lingnan University, Tuen Mun, New Territories 999077, Hong Kong, China
School of Science and Technology, The Open University of Hong Kong, Ho Man Tin, Kowloon 999077, Hong Kong, China
References (100+)
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