Mapping the Economic Crisis: Some Preliminary Investigations
This work addresses the need for automated text analysis methods in social sciences, particularly for economic crisis research, though it appears incremental as it applies existing techniques to a specific challenge.
The authors tackled the problem of automatically extracting information from texts about the 2007-2008 financial crisis, proposing a state-of-the-art technique that provides static and dynamic representations of the domain, offering a practical solution for social sciences theories lacking such tools.
In this paper we describe our contribution to the PoliInformatics 2014 Challenge on the 2007-2008 financial crisis. We propose a state of the art technique to extract information from texts and provide different representations, giving first a static overview of the domain and then a dynamic representation of its main evolutions. We show that this strategy provides a practical solution to some recent theories in social sciences that are facing a lack of methods and tools to automatically extract information from natural language texts.