Predicting individual well-being through the language of social media

Pacific Symposium on Biocomputing

Volumn , Issue , 2016, Pages 516-527

  Schwartz, H Andrew ^a   Sap, Maarten ^b   Kern, Margaret L ^b,c   Eichstaedt, Johannes C ^b   Kapelner, Adam ^b,d   Agrawal, Megha ^b   Blanco, Eduardo ^b,e   Dziurzynski, Lukasz ^b   Park, Gregory ^b   Stillwell, David ^b,f   Kosinski, Michal ^b,g   Seligman, Martin E P ^b   Ungar, Lyle H ^b  

^a Stony Brook University   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d CITY UNIVERSITY OF NEW YORK   (United States)

^e UNIVERSITY OF NORTH TEXAS   (United States)

^f UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^g STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL LIFE; FORECASTING; SOCIAL NETWORKING (ONLINE);

CASCADED MODELS; LEXICON-BASED; MULTIPLE COMPONENTS; NATIONAL SURVEYS; PHYSICAL HEALTH; PREDICTIVE MODELS; SOCIAL MEDIA; STATUS UPDATES;

PETROLEUM RESERVOIR EVALUATION;

BIOLOGY; HUMAN; LANGUAGE; PROCEDURES; PSYCHOLOGICAL MODEL; SATISFACTION; SOCIAL MEDIA; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

COMPUTATIONAL BIOLOGY; HUMANS; LANGUAGE; MODELS, PSYCHOLOGICAL; MODELS, STATISTICAL; PERSONAL SATISFACTION; SOCIAL MEDIA;

EID: 85012165175     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: 10.1142/9789814749411_0047     Document Type: Conference Paper

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