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

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(Tentative Milestones:)
(Tentative Overall Milestones:)
Line 12: Line 12:
 
**Text/group messaging systems
 
**Text/group messaging systems
 
**Natural language processing
 
**Natural language processing
 +
**Veteran-related crises
 
*Gather:
 
*Gather:
 
**Survey data
 
**Survey data
Line 19: Line 20:
 
**Text/group messaging system
 
**Text/group messaging system
 
**Machine learning algorithm that uses NLP
 
**Machine learning algorithm that uses NLP
 +
*Write the research paper
 +
*Make the poster
 +
*Present the poster

Revision as of 22:05, 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 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