Analysis of spontaneous speech in Parkinson's disease by natural language processing.INTRODUCTION
 We enrolled 53 PD patients with normal cognitive function and 53 HC, and assessed their spontaneous speech using natural language processing.  Our results demonstrate the potential of natural language processing for linguistic analysis and diagnosis of PD.
natural language processing
Machine learning algorithms were used to identify the characteristics of spontaneous conversation in each group. 
machine learning algorithms
A support-vector machine (SVM) model was trained with ten-fold cross-validation.



support-vector machine (SVM) model