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Science Mapping of Social Media Analytics in Health Through Artificial Intelligence
IEEE Region 10 Conference (TENCON) ; : 750-755, 2021.
Article in English | English Web of Science | ID: covidwho-1883148
ABSTRACT
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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Full text: Available Collection: Databases of international organizations Database: English Web of Science Language: English Journal: IEEE Region 10 Conference (TENCON) Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: English Web of Science Language: English Journal: IEEE Region 10 Conference (TENCON) Year: 2021 Document Type: Article