AI Powered ESG Insights & Analytics

The dataset is built using Accern’s AI Platform to uncover opportunities and risks hidden around the Economic, Social and Governance (ESG) behavior of a company. The ESG signals are detected from massive volumes of unstructured content from a global collection of public news a...

Data Fit

Use Cases

Due Diligence

Improve Research Efficiency

Create Trading Strategies

Financial Services

Based on

ESG Data

Alternative Data

Web Scraping Data

Overview

Product Type
Dataset
Pricing Models
Yearly subscription
Historic Data
17 months of past data available

Geo Coverage

Focus

North America (1)
United States of America

Details

Metrics:

  • History from Dec 2014
  • US Companies
  • Companies are mapped using Bloomberg FIGIs and Tickers.
    Events and Company coverage can be extended if required

ESG Events Covered:

  • Environment (EPA, Clean Ecosystem, Carbon Footprint, Climate Change)
  • Social (Workplace Health & Safety, Human Rights, Community Relations, Misconduct, Civil Society, Labor Union)
  • Governance (Reorganization, Position, Executive Compensation, Compliance, Corporate Events, Audit Committee)

Methodology:
Accern’s ESG NLP model has been trained to understand the mentions of ESG events in text documents and uses Accern’s knowledge graph. The model identifies only highly relevant articles and passages that contain discussions of ESG issues. For each passage, the model then computes an ESG sentiment along with a number of other analytics (https://www.accern.com/adaptive-nlp).

Key Fields:
entity_name
event_relevance
event_sentiment
event_text
harvested_at
event
event_group
doc_url

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