Text classification for automatic detection of e-cigarette use and use for smoking cessation from twitter: A feasibility pilot

Pacific Symposium on Biocomputing

Volumn , Issue , 2016, Pages 480-491

  Aphinyanaphongs, Yin ^a   Lulejian, Armine ^a   Brown, Duncan Penfold ^b   Bonneau, Richard ^c   Krebs, Paul ^a  

^a NEW YORK UNIVERSITY MEDICAL CENTER   (United States)

^b NEW YORK UNIVERSITY   (United States)

^c Simons Center for Data Analysis   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); MONITORING; POPULATION STATISTICS; SEARCH ENGINES; SOCIAL NETWORKING (ONLINE); TOBACCO;

AREA UNDER THE CURVES; AUTOMATIC DETECTION; CLASSIFIER PERFORMANCE; KEYWORD SEARCH; POTENTIAL EXPOSURE; SMOKING CESSATIONS; SURVEILLANCE SYSTEMS; TEXT CLASSIFICATION;

TEXT PROCESSING;

ALGORITHM; BAYES THEOREM; BIOLOGY; ELECTRONIC CIGARETTE; FEASIBILITY STUDY; HUMAN; PILOT STUDY; PROCEDURES; SMOKING CESSATION; SOCIAL MEDIA; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; SUPPORT VECTOR MACHINE; UTILIZATION;

ALGORITHMS; BAYES THEOREM; COMPUTATIONAL BIOLOGY; ELECTRONIC CIGARETTES; FEASIBILITY STUDIES; HUMANS; LOGISTIC MODELS; PILOT PROJECTS; SMOKING CESSATION; SOCIAL MEDIA; SUPPORT VECTOR MACHINE;

EID: 85012206641     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: 10.1142/9789814749411_0044     Document Type: Conference Paper

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