Difference between revisions of "Text Analytics for Predicting Crisis Events in Veterans"
From REU@MU
(→Project Goal:) |
|||
| Line 7: | Line 7: | ||
=='''Project Goal:'''== | =='''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. | 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:'''== | ||
Revision as of 21:40, 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.
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.
