Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms
文献类型:期刊论文
作者 | Zhan, Yongcheng1; Liu, Ruoran2,3![]() ![]() ![]() |
刊名 | JOURNAL OF MEDICAL INTERNET RESEARCH
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出版日期 | 2017 |
卷号 | 19期号:1页码:194-209 |
关键词 | electronic cigarettes topic modeling Latent Dirichlet Allocation social media infodemiology |
英文摘要 | Background: Electronic cigarette (e-cigarette) is an emerging product with a rapid-growth market in recent years. Social media has become an important platform for information seeking and sharing. We aim to mine hidden topics from e-cigarette datasets collected from different social media platforms. |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
类目[WOS] | Health Care Sciences & Services ; Medical Informatics |
研究领域[WOS] | Health Care Sciences & Services ; Medical Informatics |
关键词[WOS] | ELECTRONIC CIGARETTES ; POPULATION SURVEY ; BENEFITS ; SMOKERS ; TWITTER ; YOUTUBE ; HARM |
收录类别 | SCI ; SSCI |
语种 | 英语 |
WOS记录号 | WOS:000392330900014 |
源URL | [http://ir.ia.ac.cn/handle/173211/14358] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
作者单位 | 1.Univ Arizona, Dept Management Informat Syst, Eller Coll Management, McClelland Hall 430,1130 E Helen St, Tucson, AZ 85721 USA 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Mayo Clin, Scottsdale, AZ USA |
推荐引用方式 GB/T 7714 | Zhan, Yongcheng,Liu, Ruoran,Li, Qiudan,et al. Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms[J]. JOURNAL OF MEDICAL INTERNET RESEARCH,2017,19(1):194-209. |
APA | Zhan, Yongcheng,Liu, Ruoran,Li, Qiudan,Leischow, Scott James,&Zeng, Daniel Dajun.(2017).Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms.JOURNAL OF MEDICAL INTERNET RESEARCH,19(1),194-209. |
MLA | Zhan, Yongcheng,et al."Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms".JOURNAL OF MEDICAL INTERNET RESEARCH 19.1(2017):194-209. |
入库方式: OAI收割
来源:自动化研究所
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