Research output

Conference Paper (in Formal Publication) ()

Sentic computing for patient centered applications

Citation
Cambria E, Hussain A, Durrani T, Havasi C, Eckl C & Munro J (2010) Sentic computing for patient centered applications In: 2010 IEEE 10th International Conference on Signal Processing Proceedings, ICSP, Piscataway, NJ: IEEE. 2010 IEEE 10th International Conference on Signal Processing (ICSP), 24.10.2010 - 28.10.2010, Beijing, China, pp. 1279-1282.

Abstract
Next-generation patients are far from being peripheral to health-care. They are central to understanding the effectiveness and efficiency of services and how they can be improved. Today a lot of patients are used to reviewing local health services on-line but this social information is just stored in natural language text and it is not machine-accessible and machine-processable. To distil knowledge from this extremely unstructured information we use Sentic Computing, a new opinion mining and sentiment analysis paradigm which exploits AI and Semantic Web techniques to better recognize, interpret and process opinions and sentiments in natural language text. In particular, we use a language visualization and analysis system, a novel emotion categorization model, a resource for opinion mining based on a web ontology and novel techniques for finding and defining topic dependent concepts, namely spectral association and CF-IOF weighting respectively.

StatusPublished
AuthorsCambria Erik, Hussain Amir, Durrani Tariq, Havasi Catherine, Eckl Chris, Munro James
Publication date2010
Date of public distribution10/2010
URLhttp://ieeexplore.ieee.org/…no&userType=inst
PublisherIEEE
Place of publicationPiscataway, NJ
ISBN 978-1-4244-5897-4
LanguageEnglish

Journal
International Conference on Signal Processing Proceedings, Icsp (2010)

© University of Stirling FK9 4LA Scotland UK • Telephone +44 1786 473171 • Scottish Charity No SC011159
My Portal