Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Extracting information from Emails
The project will attempt to extract useful information from emails as well as attempt to classify emails as meeting intent or not. The proposed project deals with attempting to leverage current machine learning and natural language processing techniques to build a prototype that can solve the above problems. This will benefit the company by not having to use manual solutions. Currently the company uses the mechanical turk which requires actual humans extracting information from the emails. The prototype would eliminate the need for this and reduce their costs.
Faculty Supervisor:
Dr. Osmar R. Zaiane
Student:
Kevin F Quinn
Partner:
Zenlike Inc.
Discipline:
Computer science
Sector:
Information and communications technologies
University:
University of Alberta
Program:
Accelerate
Current openings
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find Projects
International
Load More
International
Load More
