Using Facebook language to predict and describe excessive alcohol use

Author:

Jose Rupa1ORCID,Matero Matthew2,Sherman Garrick1,Curtis Brenda3ORCID,Giorgi Salvatore34,Schwartz Hansen Andrew2,Ungar Lyle H.45

Affiliation:

1. Positive Psychology Center University of Pennsylvania Philadelphia Pennsylvania USA

2. Department of Computer Science Stony Brook University Stony Brook New York USA

3. Technology and Translational Research Unit National Institute on Drug Abuse Baltimore Maryland USA

4. Department of Computer and Information Science University of Pennsylvania Philadelphia Pennsylvania USA

5. Department of Psychology Positive Psychology Center University of Pennsylvania Philadelphia Pennsylvania USA

Funder

National Institute on Alcohol Abuse and Alcoholism

Publisher

Wiley

Subject

Psychiatry and Mental health,Toxicology,Medicine (miscellaneous)

Reference69 articles.

1. Screening properties of questionnaires and laboratory tests for the detection of alcohol abuse or dependence in a general practice population;Aertgeerts B.;British Journal of General Practice,2001

2. Pooled Contextualized Embeddings for Named Entity Recognition

3. Carcinogenicity of alcoholic beverages

4. Representativeness of Social Media in Great Britain: Investigating Facebook, LinkedIn, Twitter, Pinterest, Google+, and Instagram

5. 10.1162/jmlr.2003.3.4-5.993

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