GreenAI – An NLP approach to ESG financing

Nicolaas Ruberg, Rafael B. Pereira, Mauro L. Stein
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Abstract

Environmental, Social, and Governance (ESG) factors are critical for investors and financing institutions like the Brazilian Development Bank (BNDES). Such institutions are currently working on setting up a framework to assess companies' ESG factors in their financing evaluation. In this study, we identify an opportunity to use Natural Language Processing (NLP) to improve the framework. This opportunity stems from the fact that the key documents for ESG analysis, such as the company's activity report (RAA), Environmental Impact Study (EIA), and Environmental Impact Report (RIMA), undergo manual screening and decomposition whilst being analyzed by specialists. By incorporating NLP, we aim to automate the classification of text passages from these reports and enhance the efficiency of the analysis process.
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GreenAI——ESG融资的NLP方法
环境、社会和治理(ESG)因素对投资者和巴西开发银行(BNDES)等金融机构至关重要。这些机构目前正在努力建立一个框架,以评估公司融资评估中的ESG因素。在这项研究中,我们发现了一个使用自然语言处理(NLP)来改进框架的机会。这一机会源于ESG分析的关键文件,如公司活动报告(RAA)、环境影响研究(EIA)和环境影响报告(RIMA),在由专家分析的同时经过人工筛选和分解。通过结合NLP,我们的目标是从这些报告中自动分类文本段落,并提高分析过程的效率。
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