Towards Automatic Evaluation of Category Fluency Test Performance : Distinguishing Groups using Word Clustering

자동 범주유창성검사 평가를 향하여: 단어 군집화를 활용한 그룹간 구별

The Category Fluency Test (CFT) is a widely used verbal fluency test. The standard measure of scoring the test is the number of distinct words that a subject generates during the test. Recently, other measures have also been proposed to evaluate performance, such as clustering and switching. In this study, we examine clusters and switches can be assessed using word similarity measures. Based on these measures, we can distinguish between subject groups.