2016 Symposium Posters

Posters > 2016

Toward Semantic-based Identification of Fake Online Reviews


Primary Investigator:
Research Independant

Project Members
Louis Hickman
Fraudulent online reviews of businesses are a major problem for online communities. Most methods of identifying fraudulent reviews rely on statistical machine learning techniques focused on letter frequency and syntax. This research takes first steps at analyzing the semantic differences in legitimate versus fraudulent online reviews by looking at properties as defined by Ontological Semantics.

Our annual information security symposium will take place on April 3rd and 4th, 2018.
Purdue University, West Lafayette, IN