Using knowledge graphs and AI to recognize similarities between politicians

IOTO International Inc’s work is recognized as innovative by some of the largest media organizations in Canada. Their Goverlytics software applies Machine Learning to political data. They intend to extend their software to provide statistical measurements of political discourse similar to performance statistics available in other domains like sports. IOTO is in the process of obtaining political data from using Natural Language Processing on political audio. By determining how they can classify and store this resulting data, they will be able to provide media organizations with more robust statistics on legislators’ actions and performance in government. This project looks at how their political data can be standardized, collected, and presented in order to support the comparison of political figures and their careers.

Faculty Supervisor:

Cyril Coupal

Student:

Partner:

IOTO International Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Saskatchewan Polytechnic

Program: