Text Analytics for Predicting Crisis Events in Veterans
From REU@MU
Student: Wylie Frydrychowicz
Mentor: Dr. Praveen Madiraju
Project Description:
Veterans can have a hard time returning to civilized life. They can end up in various crises such as arrest, hospitalization, relapse, and angry outbursts.
Project Goal:
Using data we collect from mobile applications that we built and continue to build, we want to create a machine learning algorithm that uses NLP (Natural Language Processing) to predict crisis events in veterans.
Tentative Milestones:
- Read research articles about:
- Text/group messaging systems
- Natural language processing
- Gather:
- Survey data
- Feedback data
- Text/group messaging data
- Implement:
- Text/group messaging system
- Machine learning algorithm that uses NLP