通过人工智能绘制健康社会媒体分析的科学地图

Rogelio Ruzcko Tobias, R. Roxas, Mideth B. Abisado
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引用次数: 1

摘要

本文对CoVid-19大流行期间使用人工智能方法进行的健康社交媒体分析的scopus索引文档进行了系统的文献综述和文献计量分析。从2021年8月提取的179份scopus索引出版物中,使用系统评价和荟萃分析(PRISMA)程序删除51份文件后,剩下128份。利用VOSviewer进行分析和可视化,揭示研究生产力、隶属关系和协作网络,以及研究生产力与研究网络之间的对应关系。本文提出了对未来工作的结论和建议,以进一步培育当前通过人工智能方法进行社交媒体分析的研究环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Science Mapping of Social Media Analytics in Health Through Artificial Intelligence
This paper presents a systematic literature review and bibliometric analyses of Scopus-indexed documents in social media analytics in health during the CoVid-19 pandemic that used artificial intelligence methodologies. From the 179 extracted Scopus-indexed publications in August 2021, 128 were left after removing 51 documents using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) procedure. Analyses and visualizations using VOSviewer reveal research productivity, affiliation and collaboration networks, and the corresponding relationship between research productivity and the research networks. Conclusions and recommendations for future work are presented to further nurture the current research environment of social media analytics through artificial intelligence methodologies.
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