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Analyzing Student Veterans by Carlos Chavez is a document available to read on EtoBox.

This study investigates the use of machine learning and text analysis to detect the intensity of anxiety in the language of student veterans with social anxiety. By analyzing transcribed interviews, the researchers aimed to support mental health professionals in understanding and treating social anxiety, revealing common stress factors through topic modeling. The findings indicate that traditional machine learning methods can be more effective than deep learning approaches in small datasets, and highlight t

Author

Carlos Chavez

Language

EN