AI Powered COVID-19 Insights & Analytics

Summary:
The dataset measures company, sector, and regional exposures to COVID-19 as discussed in digital media content such as news and blogs. The dataset can be used to understand the market perception of a company’s exposure to COVID-19 and be used to inform decisions about supply chain issues, business disruptions, legal actions, and more.

Metrics:
- History from Jan 1st, 2019
- US Companies
- Companies are mapped using Bloomberg FIGIs and Tickers.
**Events and Company coverage can be extended if required**

Methodology:
Accern's COVID-19 NLP model has been trained to understand the mentions of COVID-19 events in text documents and uses Accern's knowledge graph. The model identifies only highly relevant articles and passages that contain discussions of COVID-19 issues. For each passage, the model computes a sentiment along with several 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

A full data dictionary can be found (https://drive.google.com/file/d/1rcsZk_iq2Kfa_Ob0QmGlldKA-DiWwmr7/view)

Use Cases:
Financial Services institutions (i.e. Banks, Insurance and Asset Management Firms) can use the dataset to understand which companies and sectors are being mentioned in relation to COVID-19, the market perception about the company and COVID-19, and to identify momentum and trends.