Rogelio Ruzcko Tobias, R. Roxas, Mideth B. Abisado
{"title":"通过人工智能绘制健康社会媒体分析的科学地图","authors":"Rogelio Ruzcko Tobias, R. Roxas, Mideth B. Abisado","doi":"10.1109/TENCON54134.2021.9707362","DOIUrl":null,"url":null,"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.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Science Mapping of Social Media Analytics in Health Through Artificial Intelligence\",\"authors\":\"Rogelio Ruzcko Tobias, R. Roxas, Mideth B. Abisado\",\"doi\":\"10.1109/TENCON54134.2021.9707362\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":405859,\"journal\":{\"name\":\"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCON54134.2021.9707362\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON54134.2021.9707362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.