Sentic PROMs: Application of sentic computing to the development of a novel unified framework for measuring health-care quality

Expert Systems with Applications

Volumn 39, Issue 12, 2012, Pages 10533-10543

  Cambria, Erik ^a   Benson, Tim ^b   Eckl, Chris ^c   Hussain, Amir ^d  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b Abies Ltd   (United Kingdom)

^c Sitekit Solutions Ltd   (United Kingdom)

^d UNIVERSITY OF STIRLING   (United Kingdom)

Author keywords

AI; E Health; Natural language processing; Opinion mining; Sentiment analysis

Indexed keywords

EHEALTH; FILLING IN; FREE TEXTS; HEALTH ASSESSMENTS; HEALTH STATUS; HEALTH-RELATED QUALITY OF LIVES; IDEAL SYSTEMS; INPUT DATAS; LOW COSTS; MEASURING SYSTEMS; NATURAL LANGUAGE PROCESSING; OPINION MINING; SEMI-STRUCTURED; SENTIMENT ANALYSIS; STANDARD PROCEDURES; UNIFIED FRAMEWORK;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS; PATIENT MONITORING;

HEALTH;

EID: 84861185572     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.02.120     Document Type: Article

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