Identifying topics for e-cigarette user-generated contents: A case study from multiple social media platforms

Journal of Medical Internet Research

Volumn 19, Issue 1, 2017, Pages

  Zhan, Yongcheng ^a   Liu, Ruoran ^b,c   Li, Qiudan ^b   Leischow, Scott James ^d   Zeng, Daniel Dajun ^a,b,c  

^a UNIVERSITY OF ARIZONA   (United States)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^d MAYO CLINIC   (United States)

Author keywords

Electronic cigarettes; Infodemiology; Latent Dirichlet Allocation; Social media; Topic modeling

Indexed keywords

CONSUMER; FLAVOR; HUMAN; MODEL; SCIENTIST; SOCIAL MEDIA; THROAT; VAPING; VAPOR; ELECTRONIC CIGARETTE; INFORMATION PROCESSING; INTERNET; STATISTICS AND NUMERICAL DATA;

DATASETS AS TOPIC; ELECTRONIC CIGARETTES; HUMANS; INTERNET; SOCIAL MEDIA;

EID: 85012876933     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.5780     Document Type: Article

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