COVID-19 has injected huge uncertainty into global financial markets. To stay resilient, economists, investment analysts and traders need to be able to quickly identify and track the positive and negative impact of events on companies, industries and supply chains.While there is a lot of information and news available on the coronavirus, the speed and volume of developments reported can make it challenging to cut through the noise.
Refinitiv Labs' latest project, the COVID-19 Company News Tracker, leverages state-of-the-art Machine Learning techniques to process news and detect, classify and store any risks or opportunities mentioned in the story. This time-series signal allows you to focus on material impacts as opposed to general news, saving you valuable time and effort.
Sign up to this new Refinitiv Learn-it-all lab to discover:
- The practical steps Refinitiv Labs took to hone in on the problem – and ensure the new model and interface solved for it
- How Refinitiv Labs used the state-of-the-art Machine Learning model, BERT, to improve success rates by approx. 15%.
- How Refinitiv Labs trained and validated the new model using 7,500 human-annotated examples
- How you can get access to these new data insights
Date: 20 August 2020
Time: 12:30 IST | 15:00 SGT | 17:00 AEST
Login Details: Shared after registration
Refinitiv News feeds, analytics, and indices
Machine Readable News is the only machine-readable news service powered by Reuters. Content ranges from binary economic and headline data for event-based trading, sentiment and buzz metrics for quantitative uses, and raw news with metadata for intraday trading and market surveillance.
The service also provides scores and analytics based on our proven and trusted algorithms, together with all the metadata, to better inform your firm’s trading decisions. and middle office functions.