Understanding Users' Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques | |
Li, Qiudan1![]() ![]() ![]() ![]() ![]() | |
Source Publication | JOURNAL OF MEDICAL INTERNET RESEARCH
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2018-08-01 | |
Volume | 20Issue: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 | |
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). |
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