ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Large-scale sparse logistic regression
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Analyzing Sentiment Markers Describing Radical and Counter-Radical Elements in Online News
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
A System for Ranking Organizations Using Social Scale Analysis
EISIC '11 Proceedings of the 2011 European Intelligence and Security Informatics Conference
Perspective Analysis for Online Debates
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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We propose a multi-scale text mining methodology and develop a visual intelligence platform for tracking the diffusion of online social movements. The algorithms utilize large amounts of text collected from a wide variety of organizations' media outlets to discover their hotly debated topics, and their discriminative perspectives voiced by opposing camps organized into multiple scales. We utilize discriminating perspectives to classify and map individual Tweeter's message content to social movements based on the perspectives expressed in their weekly tweets. We developed a visual intelligence platform, named LookingGlass, to track the geographical footprint, shifting positions and flows of individuals, topics and perspectives between groups.