Detecting Semantic Distance Abnormalities in Psychosis: Quantification of Word Associations Using Semantic Space Modeling (Cancelled)
Ms Stephanie Andrea PINTOS
Prof. Eric Yu Hai CHEN
30 January 2020
G/F, Room LG-S2, Laboratory Block, Faculty of Medicine Building
Quantification of semantic abnormalities have been improved with recent advances in semantic modeling. The current study applied such computational methods on a word association task, using immediate response to cue words to explore semantic associations. A longitudinal design was employed to investigate semantic relationships during a psychotic episode compared with the same patients after remission six months later, in order to clarify the state-trait status of the semantic variables, and their relationships with clinical symptoms.