Social Science Automation (SSA) seeks to understand human minds and performance through text analytics. The motivation for starting SSA was the realization that although a tremendous amount of the accessible data that humans generate is stored as unstructured text, social science had only rudimentary tools for manipulating and analyzing unstructured text. Since then, the volume of unstructured text we generate has grown exponentially. We have made some notable progress and continue to pursue our goal of understanding human minds and performance through text analytics by developing tools for manipulating and analyzing unstructured text.


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