Evaluating Clustering Techniques using a range of Semantic Similarity Evaluation Metrics

This research project will allow us to assess how similar two news articles are to each other. This may be easy for a human to do, but for machines this is actually quite hard. OpenReg will make use of this assessment to determine if a news article is important for their users. The goal is to be able to identify to what degree 2 articles need to be similar to each other for the user to be interested, yet different enough for them to not read duplicate information.

Faculty Supervisor:

Daria Terekhov

Student:

Partner:

OpenReg

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Concordia University

Program:

Accelerate

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