Difference between revisions of "Text Analytics for Predicting Crisis Events in Veterans"

From REU@MU
Jump to: navigation, search
(→‎Tentative Milestones:)
(→‎Tentative Milestones:)
Line 12: Line 12:
 
**Text/group messaging systems and implement a system
 
**Text/group messaging systems and implement a system
 
**Natural language processing and implement a machine learning algorithm
 
**Natural language processing and implement a machine learning algorithm
 +
*Gather:
 +
**Survey data
 +
**Feedback data
 +
**Text/group messaging data

Revision as of 21:45, 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.

Tentative Milestones:

  • Read research articles about:
    • Text/group messaging systems and implement a system
    • Natural language processing and implement a machine learning algorithm
  • Gather:
    • Survey data
    • Feedback data
    • Text/group messaging data
Retrieved from "https://reu.cs.mu.edu/index.php?title=Text_Analytics_for_Predicting_Crisis_Events_in_Veterans&oldid=3636"