Science & Tech
U of A researchers develop tool that analyzes millions of tweets to help understand public health in Alberta and across Canada.
A new machine learning tool, developed by University of Alberta computing scientists, sifts through millions of Twitter posts to help understand health and wellness trends in Alberta and across Canada.
“We use machine learning to determine the location tweets refer to, the dimension of health they are related to, and the emotions expressed in each tweet,” said U of A computing scientist Osmar Zaiane.
“If we can do this properly, we can get a better understanding of what it’s actually like to live in a particular place, in terms of health and wellness.”
The tool, called Grebe, harnesses the power of machine learning to aid the work of health monitoring networks from the Public Health Agency of Canada and the U.S. Centers for Disease Control and Prevention, which generally rely on data compiled from self-reports or informat...