Understanding Users' Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques

doi:10.2196/jmir.9373

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 互联网大数据与信息安全

	Understanding Users' Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques
	Li, Qiudan1 ; Wang, Can1,2 ; Liu, Ruoran1,2 ; Wang, Lei1 ; Zeng, Daniel Dajun1,2,3 ; Leischow, Scott James 4
发表期刊	JOURNAL OF MEDICAL INTERNET RESEARCH
	2018-08-01
卷号	20 期号:8
文章类型	Article
摘要	Background: E-liquid is one of the main components in electronic nicotine delivery systems (ENDS). ENDS review comments could serve as an early warning on use patterns and even function to serve as an indicator of problems or adverse events pertaining to the use of specific e-liquids-much like types of responses tracked by the Food and Drug Administration (FDA) regarding medications.
关键词	Electronic Nicotine Delivery Systems E-cigarette E-liquid Juicedb Sentiment Opinion Summarization Social Media Vaping Infodemiology
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
DOI	10.2196/jmir.9373
关键词[WOS]	ELECTRONIC CIGARETTES
收录类别	SCI ; SSCI
语种	英语
项目资助者	National Key R&D Program of China(2016QY02D0305) ; US National Institutes of Health(5R01DA037378-05) ; National Natural Science Foundation of China(61671450 ; Key Research Program of the Chinese Academy of Sciences(ZDRW-XH-2017-3) ; 71621002 ; 71272236)
WOS研究方向	Health Care Sciences & Services ; Medical Informatics
WOS类目	Health Care Sciences & Services ; Medical Informatics
WOS记录号	WOS:000441504800001
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21850
专题	多模态人工智能系统全国重点实验室_互联网大数据与信息安全
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Univ Arizona, Eller Coll Management, Dept Management Informat Syst, McClelland Hall 430,1130 E Helen St, Tucson, AZ 85721 USA 4.Arizona State Univ, Coll Hlth Solut, Phoenix, AZ USA
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Li, Qiudan,Wang, Can,Liu, Ruoran,et al. Understanding Users' Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques[J]. JOURNAL OF MEDICAL INTERNET RESEARCH,2018,20(8).
APA	Li, Qiudan,Wang, Can,Liu, Ruoran,Wang, Lei,Zeng, Daniel Dajun,&Leischow, Scott James.(2018).Understanding Users' Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques.JOURNAL OF MEDICAL INTERNET RESEARCH,20(8).
MLA	Li, Qiudan,et al."Understanding Users' Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques".JOURNAL OF MEDICAL INTERNET RESEARCH 20.8(2018).