Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data

BMC Medical Informatics and Decision Making

Volumn 17, Issue , 2017, Pages

  Du, Jingcheng ^a   Xu, Jun ^a   Song, Hsing Yi ^a   Tao, Cui ^a  

^a UNIVERSITY OF TEXAS   (United States)

Author keywords

Hierarchical classification; Human papillomavirus vaccines; Machine learning; Sentiment analysis; Twitter

Indexed keywords

WART VIRUS VACCINE;

ATTITUDE TO HEALTH; HUMAN; MACHINE LEARNING; PAPILLOMAVIRUS INFECTION; PSYCHOLOGY; PUBLIC OPINION; SOCIAL MEDIA; VACCINATION;

HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; MACHINE LEARNING; PAPILLOMAVIRUS INFECTIONS; PAPILLOMAVIRUS VACCINES; PUBLIC OPINION; SOCIAL MEDIA; VACCINATION;

EID: 85021697870     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/s12911-017-0469-6     Document Type: Article

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