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

doi:10.2196/jmir.9373

CASIA OpenIR > 复杂系统管理与控制国家重点实验室 > 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
Source Publication	JOURNAL OF MEDICAL INTERNET RESEARCH
	2018-08-01
Volume	20 Issue:8
Subtype	Article
Abstract	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.
Keyword	Electronic Nicotine Delivery Systems E-cigarette E-liquid Juicedb Sentiment Opinion Summarization Social Media Vaping Infodemiology
WOS Headings	Science & Technology ; Life Sciences & Biomedicine
DOI	10.2196/jmir.9373
WOS Keyword	ELECTRONIC CIGARETTES
Indexed By	SCI ; SSCI
Language	英语
Funding Organization	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 Research Area	Health Care Sciences & Services ; Medical Informatics
WOS Subject	Health Care Sciences & Services ; Medical Informatics
WOS ID	WOS:000441504800001
Citation statistics	Cited Times:3[WOS] [WOS Record] [Related Records in WOS]
Document Type	期刊论文
Identifier	http://ir.ia.ac.cn/handle/173211/21850
Collection	复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Affiliation	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
First Author Affilication	Institute of Automation, Chinese Academy of Sciences
Recommended Citation 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).

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Institution:
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh

复杂系统管理与控制国家重点实验室知识库