Bitvore’s proprietary Environmental, Social, and Governance (ESG) signals and sentiment scoring for 400K global public and private companies are derived from over 60K publicly available and premium unstructured data sources. These ESG signals and scores provide an “outward-in” view of a company’s performance against ESG standards leveraging news articles, press releases, transcripts and other unstructured data sources. Using machine-learned models (NLP), unique signals and sub-signals have been trained to allow users to quickly identify specific ESG topics of interest such as GHG emissions, Diversity & Inclusion, Product Safety & Quality, Cybersecurity and more.
Credit : This tool has been made in the context of the EquipEx+ ANR-21-ESRE-0036:
Special thanks to Maria VILLALONGA, Thibaud BARREAU and all other contributors.