Blog Corpus-based Clustering Scheme for Category Fluency Test (CFT) Data Clustering

Category Fluency Test (CFT) is one of the most popular methods to screen dementia and is used in particular to evaluate the organization of the semantic memory and verbal fluency of a patient with dementia. The CFT performance is assessed according to the number of items each patient produces during the test. Recently, however, researchers have also proposed to evaluate the performance by considering the pattern of clusters and switches of the CFT data, with efforts to figure out the clusters and switches on the CFT data computationally. In this work, we propose a novel blog corpus-based clustering scheme to analyze the clusters and switches of the CFT data in a computational manner. In addition, we will argue for the need of the blog corpus-based clustering scheme by comparing it with the previous work on automatic CFT data clustering.