A team of IBM researchers spends their days sifting through Twitter. They use live streams of tweets to develop machines that are smarter than the typical computer, an area of study known as "machine learning."
Using these tweets, they've developed technology that allows a machine to understand that some tweets are just background noise and others are newsworthy and important.
Click here to see what they've learned→
For instance, a tweet that says "I urgently need my cup of Starbucks and a scone and before I head over to Staples" is distinctly different than a Tweet that says: "URGENT: I just bit into a scone from @starbucks to find over 10 staples baked into it. Please RT and be careful."
IBM scientists have also come up with ways to measure "sentiment" … to identify which tweets are saying something good about something important and which are saying something negative.
After two years of studying Twitter, their work wound up in an IBM social media monitoring product, Cognos Consumer Insight.
But it also led to lots of funny stories and interesting facts about Twitter. Rick Lawrence, who leads IBM's Machine Learning Group at IBM Research at Yorktown Heights NY, shared some of these stories with Business Insider.
10 tweets per second mention Starbucks.
Lady Gaga's popularity is "super-linear" meaning she gains followers faster than Twitter adds new accounts. She has more than 18 million followers.
IBM can predict wait times at airports by crowdsourcing information from tweets. They search tweets for mentions of airports, then send an @reply to the tweeters and ask them to reply with wait times.
See the rest of the story at Business Insider
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