In Human-Centered Machine Learning, taught by Stevie Chancellor, my team and I designed and developed an interactive system, seen below, that predicts a user’s risk for depression based on their Twitter data and visualizes the results using a classifier model. After reading and critiquing machine learning systems and papers over the course of the quarter, we were able to apply the principles of human-centered machine learning to our project.
Read
our workshop paper draft.
Explore
the model and interface more.