Difference between revisions of "Text Analytics for Predicting Crisis Events in Veterans"
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| − | 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. | + | 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. We want to help the veterans by predicting if they will be or are in crisis. |
=='''Project Goal:'''== | =='''Project Goal:'''== | ||
Revision as of 22:06, 4 June 2020
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. We want to help the veterans by predicting if they will be or are in crisis.
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 Overall Milestones:
- Read research articles about:
- Text/group messaging systems
- Natural language processing
- Veteran-related crises
- Gather:
- Survey data
- Feedback data
- Text/group messaging data
- Implement:
- Text/group messaging system
- Machine learning algorithm that uses NLP
- Write the research paper
- Make the poster
- Present the poster
