Multi-Perspective Text Analysis of Social Knowledge Networks

Knowledge workers (i.e., researchers, business consultants and analysts, research-program managers) produce documents (research publications, analysis reports, opinion pieces, calls-for-proposals, and blog posts) through which they express their knowledge and opinions. They also read and review similar documents, produced by individuals and organizations in their domain of interest and expertise, to keep current with their domain. By analyzing these documents, the information they contain and the sentiment they convey, their cross-references to each other, and the network of co-production and consumption relationships they imply, we can gain deep insights on the continuous information flow through networks of experts as they consume, evaluate, assess, and produce knowledge.

Faculty Supervisor:

Kelly Lyons;Eleni Stroulia;Kelly Lyons;Lianne Lefsrud

Student:

Partner:

Cerebri AI;Canada’s Oil Sands Innovation Allian;IBM Canada Ltd (Edmonton, AB)

Discipline:

Computer science

Sector:

Mining; Professional, scientific and technical services

University:

University of Alberta; University of Toronto

Program: