Text mining self-disclosing health information for public health service

Journal of the Association for Information Science and Technology

Volumn 65, Issue 5, 2014, Pages 928-947

  Ku, Yungchang ^a,b   Chiu, Chaochang ^a   Zhang, Yulei ^c   Chen, Hsinchun ^d   Su, Handsome ^b  

^a YUAN ZE UNIVERSITY   (Taiwan)

^b CENTRAL POLICE UNIVERSITY   (Taiwan)

^c NORTHERN ARIZONA UNIVERSITY   (United States)

^d UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISEASES; HEALTH CARE; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE); TEXT MINING; VIRUSES;

CLASSIFICATION ACCURACY; HEALTH INFORMATIONS; HUMAN IMMUNODEFICIENCY VIRUS; INFORMATION GAIN; PUBLIC HEALTH SERVICES; PUBLIC HEALTH SURVEILLANCES; PUBLIC-HEALTH AGENCIES; TEXT MINING TECHNIQUES;

PUBLIC HEALTH;

EID: 84901508230     PISSN: 23301635     EISSN: 23301643     Source Type: Journal    
DOI: 10.1002/asi.23025     Document Type: Article

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