This report explores how deep learning can enhance ESG research by improving the efficiency and accuracy of collecting and analyzing Environmental, Social, and Governance (ESG) data. ESG metrics are increasingly important for assessing a company’s sustainability performance, societal impact, and potential long-term financial success. Traditionally, analysts manually review sustainability reports and other publicly available documents to extract relevant ESG information, a time-consuming and resource-intensive process. The report highlights how deep learning and artificial intelligence can automate data extraction from large volumes of unstructured documents, identify relevant ESG indicators, and support more consistent assessments. By reducing manual effort and improving scalability, these

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