SGI uses big data to detect Twitter's 'heartbeat'
Needless to say, there's a lot of emotions and expressed on Twitter every day, but it feels virtually impossible to navigate through all of them to extract a general consensus on most topics.
However, computing giant SGI thinks it may have found a way to pinpoint just that.
SGI has teamed up with researchers from the University of Illinois to analyze the entire Twitter feed for sentiments and volume in real-time using SGI's UV 2000 Big Brain data-mining computer.
By combining geotagged tweets with a Twitter-focused sentiment engine, SGI said researchers have been able create a sophisticated streaming … Read more