This repository contains code and data for a machine learning model that predicts ESG (Environmental, Social, and Governance) scores based on sustainability reports and company data. It's a valuable resource for researchers, investors, and sustainability professionals interested in ESG score prediction using machine learning techniques.
Combine embeddings from models like BERT with other structured data (e.g., company size, industry type) in a hybrid neural network architecture.
Advantage: By considering both textual and non-textual features, these models can provide a holistic prediction.
Combine embeddings from models like BERT with other structured data (e.g., company size, industry type) in a hybrid neural network architecture. Advantage: By considering both textual and non-textual features, these models can provide a holistic prediction.