Publication Type : Conference Paper
Publisher : Emerging Trends in Electrical, Communications, and Information Technologies, Springer Singapore
Source : Emerging Trends in Electrical, Communications, and Information Technologies, Springer Singapore, Singapore (2020)
Url : https://link.springer.com/chapter/10.1007/978-981-13-8942-9_8
ISBN : 9789811389429
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2020
Abstract : Online Health Community (OHC) services are mostly employed for resolving problems of people with chronic diseases. OHCS also provide social support in addition with solutions to the problems. Social Support is of two forms: Emotional Support, Informational Support. The objective of this work is to analyze online healthcare forum and find the degree of support provided by the forum. In this work, 1200 discussions have been extracted from POZ, an Online HIV Forum. Initially the type of support groups has been identified by application different semi supervised approach. As a result, it has been identified that emotional support is more in the messages of the forum. Further regression has been applied to quantify the amount of emotional support in the discussion of the POZ forum. Various kinds of regression algorithms have been applied to model the degree of support in the messages.
Cite this Research Publication : P. Naveen, Priyanka Vivek, and Gupta, D., “Predicting the Degree of Emotional Support in an Online Health Forum for HIV Using Data Mining Techniques”, in Emerging Trends in Electrical, Communications, and Information Technologies, Singapore, 2020.