Difference between revisions of "Text Analytics for Predicting Crisis Events in Veterans"
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=='''Project Goal:'''== | =='''Project Goal:'''== | ||
− | Using data we collect from mobile applications that we 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. |
Revision as of 21:15, 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.