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Article
Structuring Big Data: How Financial Models May Help
Journal of Computer Science and Technology (2014)
  • Thierry Warin, HEC Montréal
  • William Sanger
Abstract

The goal of this paper is to illustrate how financial models can be used to analyze unstructured data. Indeed, with the advent of social media, researchers have access to massive amounts of new data. These new data are unstructured in the sense that they can come from multiple origins. These data are commonly called "Big Data".To analyze Big Data considering the nature and the specificities of the data, we must develop a very reliable approach to extract the relevant information in realtime. Financial models are designed to manage risks. They are also designed to handle massive amounts of structured data to analyze risks. In this context, our paper could be very helpful to create a dashboard of potential risks based on social media scrutiny.

Publication Date
March, 2014
Citation Information
Thierry Warin and William Sanger. "Structuring Big Data: How Financial Models May Help" Journal of Computer Science and Technology Vol. 2 Iss. 1 (2014)
Available at: http://works.bepress.com/warin/98/