Sentiment analysis for sources relying on nationalistic subtexts

Developing a database to help analysts store and process requests for intelligence

Using a data visualization process to translate research in a clear, practical way for broad audiences

A person walking quietly through a park might never be heard by others, but if a flock of birds flies away as the person passes it is revealed that someone is there. Technology capable of discovering quiet agents in real-time, using machines to analyze environments, could prove immensely useful.

MSDS '18 students Jack Prominski and Pragati Shah, led by faculty advisor and DSI professor Rafael Alvarado, undertook a capstone project to improve an automated system that matches PLOS article manuscripts with appropriate editors.