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Automated Detection of Environmental, Social, and Governance Issues in Financial Documents

There is an immense amount of unstructured data generated every day that can affect companies and their position in the financial markets. A critical task for decision makers is to quantify and analyze this data to quickly identify opportunity and risk.

One of the important indicators in this kind of analysis is ESG (environmental, social, and governance) rating, which identifies issues for a company in these critical areas. This session describes a natural language processing system which automatically achieves this for documents coming from financial news & disclosures. The models have been deployed in production as part of a big data analytics platform of a leading data provider to the financial services industry.