Computational Fact-Checking through Relational Similarity based Path Mining
Published:
Presenting “Computational Fact-Checking through Relational Similarity based Path Mining” at the AMS Contributed Paper Session on Operations Research, Mathematical Programming, Optimization, Game Theory, Economics, and Mathematics in the Social and Behavioral Sciences at the 2019 Joint Mathematics Meeting (JMM) in Baltimore
Presenting “Computational Fact-Checking through Relational Similarity based Path Mining” at the Undergraduate Poster Session at the 2019 Joint Mathematics Meeting (JMM) in Baltimore (Abstract)
The project code and details can be found here (Project pipeline) and here (Stream Miner Algorithm).