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Communication

University of Nebraska at Omaha

2014

Support Vector Machines

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Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider Jan 2014

Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider

Interdisciplinary Informatics Faculty Proceedings & Presentations

We aim to predict activities of political nature in Egypt which influence or reflect societal-scale behavior and beliefs by using learning algorithms on Twitter data. We focus on capturing domestic events in Egypt from November 2009 to November 2013. To this extent we study underlying communication patterns by evaluating content-based and meta-data information in classification tasks without targeting specific keywords or users. Classification is done using Support Vector Machines (SVM) and Support Distribution Machines (SDM). Latent Dirichlet Allocation (LDA) is used to create content-based input patterns for the classifiers while bags of Twitter meta-information are used with the SDM to …