Abstract. In this paper we present an implemented method for analysing arguments from drug reviews given by patients in medical forums on the web. For this we provide a number of classification rules which allow for the extraction of specific arguments from the drug reviews. For each review we use the extracted arguments to instantiate a Dung argument graph. We undertake an evaluation of the resulting argument graphs by applying Dung's grounded semantics. We demonstrate a correlation between the arguments in the grounded extension of the graph and the rating provided by the user for that particular drug.
Noor et al. REF extract arguments from patient experience expressed on the social web to assess a particular drug.
Analysis of Medical Arguments from Patient Experiences Expressed on the Social Web
IEA/AIE
Computer Science