Cognitive Processing Style Analyzer: Using Language to Predict Cognition

This project is focusing on developing an algorithm that assesses cognitive processing styles through language analysis. This involves understanding the correlation between language and symptoms of trauma, depression, and anxiety and how these can predict cognitive processing styles. The goal is to create a machine-learning algorithm that standardizes annotations, reduces subjectivity, and saves time in research by predicting processing styles from trauma narratives. Results from the project indicate that features of depression, anxiety, and post-traumatic stress are evident in the language used to describe traumatic events and can predict processing styles, which is crucial for therapy