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lundi 30 janvier 2012
8 Crazy Things IBM Scientists Have Learned Studying Twitter
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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.
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.
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.
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.
This post was written by: Blogueurz
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