Análisis del texto en conversaciones de pacientes con Demencia Tipo Alzheimer

Abstract

Abstract:Alzheimer's type Dementia is a neurodegenerative disease that results from the dysfunction of the central nervous system and that results in cognitive deterioration, causing, among other symptoms, the progressive loss of their emotional expression in the dialogue and increasing dramatically as the disease progresses, and that is why in the present investigation the identification of human emotions in text was performed with patients suffering from Alzheimer's type Dementia, through an analysis of the polarity of the text with the transcription of the recorded conversations to 10 patients suffering from the disease of type Alzheimer and using SentiStrength sentiment analysis tool online, to corroborate with the data obtained by the unsupervised PMI algorithm (PointWise Mutual Information), using the CRISP-DM methodology. The data obtained with this investigation will be carried out a correlational analysis with the data obtained in previous works by the supervised method.