Accern: AI Powered Credit Insights & Analytics
Improve your credit decisioning and risk processes by identifying adverse company events in the media.
Accern generates credit signals based on over a billion public news and social media content for companies, sectors and regions. A credit signal is identified for a company if an article contains mentions of negative news about credit events such as defaults, bankruptcy, covenant default, debt restructuring, rating downgrades, lawsuits, employment actions, analyst rating, downsizing, fraud events and many more, pertaining to a company.
- History from 2014
- Coverage of all US Companies and Sectors
- Over 150 Credit Events (i.e. Bankruptcy, Legal Actions, Analyst Ratings, etc.)
- Companies are mapped using Bloomberg FIGIs and Tickers
Coverage (e.g. private companies) and credit events can be extended if required
Accern’s credit NLP model has been trained on massive amounts of distressed company news and uses Accern’s knowledge graph. The model identifies only highly relevant articles and passages that contain discussions of credit risk issues. For each passage, the model then computes a credit sentiment along with a number of other analytics (https://www.accern.com/adaptive-nlp).
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