Document Clustering: Assigning the Appropriate Research Area(s) to Incoming Project Proposals

There is an Elite graduate program at the University of Toronto’s Department of Computer Science called Master of Applied Science in Computing (MScAC).
During this program students spend 8 months taking graduate courses and 8 months at their applied research internship at multinational research labs and startups, which send their project proposals for program approval. The MScAC business development team wants to know to which categories those projects belong. So the first part of the research is to automatically assign the appropriate research area(s) to incoming research projects without human effort.
Each internship has an industrial supervisor and an academic supervisor. The problem here is there are a lot of professors at the University of Toronto with different research interests. Finding a suitable supervisor whose research interests match the theme of the research project the student is working on can be a time-consuming task.

Faculty Supervisor:

Annie Lee

Student:

Partner:

Ivan Franko National University of Lviv

Discipline:

Computer science

Sector:

Artificial Intelligence; Education; Technology

University:

University of Toronto

Program: