Understanding and Predicting Daily Shifts in Emotion with Machine Learning

Individuals’ mood can change on a moment-to-moment basis. Understanding and predicating changes in mood, however, is difficult. A Canadian technology company, called UpBeing, has developed a mobile app to help collect data on mood (among other data) multiple times in a given day. The proposed study will use cutting-edge machine learning techniques and data provided by UpBeing to predict how individual’s moods will change over time. Additional statistical analyses will also be used to help carry out the goals of this study which include: (1) identifying patterns in how people’s mood change in a given day, (2) better understanding what contributes to changes in mood, and (3) determining the best approaches to data analyses to help address missing data.

Faculty Supervisor:

Ga Wu

Student:

Partner:

UpBeing Inc.

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Dalhousie University

Program: