EU-Project First Launches Social Media Sentiment Analysis Tool

The prototype, launched in 2010, aims at deciphering large volumes of unstructured data in financial compliance extracted from social media networks and develops automated techniques to better detect market surveillance abuse and insider trading.

As part of the project, b-next, a provider of market-abuse surveillance, insider dealing and compliance software software, has developed two market-surveillance scenarios to enhance the user's overview of the market.

"The developed prototype can make a major contribution to better detect market abuse and offers ground-breaking possibilities to increase the efficiency of market supervision and financial market regulation," says Wolfgang Fabisch, CEO of b-next. "In today's world of rapidly evolving financial markets, the ability to determine sentiment of market participants can be extremely valuable to detect and deliver decision support by aggregation, analysis and visualization."

B-next has worked alongside partners Monte dei Paschi, Interactive Data, Boerse Stuttgart, and a number of universities to harness artificial intelligence to support financial decision makers.