esgBERT: A Deep Learning Model for ESG analytics

Project Details


In this project, we will develop esgBERT, which is a deep learning model based on BERT with fine-tune training of ESG data. Based on esgBERT, we deliver ESG data analytics services including ESG key issues extraction, trend visualization, ESG ratings prediction, risk analysis, and social ROI analysis. In addition to reporting the ESG analytics to Applied Materials, this project also conduct a comparative analysis of ESG performance among the leaders as well as Applied Material’s competitors and customers in the industry.
Effective start/end date30/11/2129/11/22

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure


  • ESG
  • BERT
  • comparative analysis


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