Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis

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書誌詳細
出版年:	Journal of Medical Internet Research vol. 27 (2025), p. e63755
第一著者:	Li, Wanxin
その他の著者:	Hua, Yining, Zhou, Peilin, Zhou, Li, Xu, Xin, Yang, Jie
出版事項:	Gunther Eysenbach MD MPH, Associate Professor
主題:	Language Analysis COVID-19 vaccines Accuracy Datasets Application programming interface Public health Drug interactions Data mining Celebrities Social networks Data analysis Efficacy Acknowledgment Pharmacovigilance Physical symptoms Drug abuse Drug therapy Ivermectin Matrices Drugs Sentiment analysis Health surveillance Multimedia Misinformation Social media COVID-19 Pandemics Medical research Data collection Critical incidents Natural language processing Topics Network analysis Public opinion Vitamin D Comorbidity Public safety Normalization Medical treatment Vitamins Discourse analysis Computer mediated communication Mass media Mass media images Fame Epidemiology Recognition Attitudes Surveillance Drug effects Language modeling
オンライン･アクセス:	Citation/Abstract Full Text + Graphics Full Text - PDF
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