Risk assessment of organisations through NLP and text mining

An insurance company automatically recognises organisations and their roles in expert reports in order to assess them in terms of risk.

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Unstructured data from expert reports are made evaluable

Faster and more efficient risk assessment

The "risk" of a company becomes quantitatively measurable

Challenge

A client wants to assess organisations in terms of their roles for business-relevant events. There is only a large stock of expert reports describing the causes and courses of these events.

Solution

Available approaches for automated recognition and extraction of organisations and their roles from the available documents through text mining and natural language processing (NLP) are tested and evaluated. A user interface for validating the extracted data and analysing the organisations will be designed.

Result

A sustainable and scalable data model for the structured collection of relevant information is in place. The available methods have been evaluated and a concrete implementation proposal has been drafted.

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