1. A computer-implemented method for obtaining Governance, Risk and Compliance (GRC) insights from aggregated data pertaining to an organization, said aggregated data including at least unstructured data, comprising: processing said aggregated data using natural language processing to generate a set of attributes, said set of attributes being correlated with metadata pertaining risk factors associated with said organization; processing said aggregated data using natural language processing to generate a set of contributors, said set of contributors pertaining to said set of attributes; and analyzing, using said set of attributes and said set of contributors, to generate a set of insights, said set of insights representing at least one of a mapped risk control matrix and a set of recommendations to improve at least one attribute in said set of attributes, wherein said set of attributes represent at least one of a set of topics, a set of sentiments, and a set of emotions.