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The team began by collecting geotagged tweets sent during the year up to July 2014 from New York City and from Monroe County on the northern border of the state, which includes the city of Rochester. From this set, they filter all the tweets that ...
If you were tweeting and drinking between July 2013 to 2014, your tweets might have been used as part of an experiment by computer science students at the University of Rochester. (Perhaps you don't remember, which might be for the best.) Nabil Hossain ...
The Rochester analysts came up with a series of three questions they used to determine if a tweetoriginated from a drinking user: Does the tweet mention alcoholic beverages – did they use words such as “drunk,” “beer,” or “alcohol?” Is the tweet about ...
In case the rambling string of misspelled words and incoherent thoughts weren't dead giveaways, scientists have developed a method of machine learning to sniff out drunk tweets. Researchers from the University of Rochester collected 11,000 geotagged ...
Researchers have now trained an algorithm to spot alcohol-related tweets, and even to guess if the tweeter was drinking at the time of posting. Nabil Hossain at the University of Rochester, upstate New York, decided to combine Twitter and machine ...
In a study out this week, a group of computer scientists from the University of Rochester analyzed over 11,000 geotagged drunk tweets posted in New York City and Monroe County in Upstate New York from January to July of 2014. How did they isolate the ...
Headed by lead author and graduate research assistant Nabil Hossain, scientists at the University of Rochester developed the algorithm to differentiate drunk tweets from sober ones, all in the name of, among other things, averting alcohol-related ...
... Twitter contribution was made in a drunken stupor. In truly monumental research, Nabil Hossain at the University of Rochester took Twitter and machine learning, and smashed them together to determine drinking habits across specific geographic ...
Using social media while intoxicated may be hazardous to your personal life. But there may be an upside. A team of researchers at the University of Rochester have trained a computer to spot alcohol-related tweets and use that data to monitor localized ...
Drunk tweets, long considered an unfortunate, yet ubiquitous, byproduct of the social media age, have finally been put to good use. With the help of a machine-learning algorithm, researchers from the University of Rochester cross-referenced tweets ...
A study published this week by a group of computer scientists from the University of Rochesteranalyzed over 11,000 geotagged drunk tweets from January to July of 2014 — this means the image you tweeted in an American flag mankini on Independence ...
Rochester, New York – A group of researchers at the University of Rochester introduced a machine-learning algorithm they developed. This machine can spot tweets posted under the influence of alcohol. This technology, they said, could be used to better ...
And now for a brief St. Patrick's Day PSA: If you're planning any celebratory outings today, drink responsibly and do your level best to not drunk tweet or text. It may seem like a good idea at the time, but the Internet is forever. Thanks to context ...
(Newser) – Think last night's drunk tweets were pretty coherent? You won't fool University ofRochester researchers, who have developed a machine-learning algorithm that can tell when a tweeter is drinking. To do so, they started with humans ...
Researchers have now come up with an algorithm that can detect drunk tweeting and guess whether the tweeter was drunk at the time of the post. Nabil Hossain at the University ofRochester, upstate New York, used Twitter and machine learning in order to ...
While, some may have participated or bore the brunt of drunken tweets, many have denied being under the influence. But now, scientists at the University of Rochester have developed an algorithm that identifies tweets that were posted when a user was ...
If you were at a bar with your phone in New York City during 2014, your whiskey-laced illegibletweets may have been used for important scientific research. In a study out this week, a group of computer scientists from the University of Rochester...
... stuff on Twitter or Facebook. Apparently, the machine is so far off, that it can predict with an 80 percent accuracy you're location and how drunk you are based on your text. Leaving the joke aside, a team of scientists from the University of ...
It's this type of behavior that inspired researchers at the University of Rochester in New York do a study on the matter. Specifically, they set out to create an algorithm that could detect tweets that were likely published by someone under the ...
It's safe to assume that most people agree that alcohol and tweeting is probably not a good combination, but researchers at the University of Rochester have examined this practice even further and created a machine-learning algorithm that can spot ...
Sure, sometimes it's a dead giveaway with typos and exaggerated punctuation, but sometimes it's not, which is why Nabil Hossain and his friends at the University of Rochester decided to train a machine to identify tweets that were sent out while the ...
While it's not Twitter as an entity that can tell and instead it's an algorithm that Twitter owns which knows when you drink, the point is – it can guess how drunk you are and where you have been drinking. Typing is hard, especially when ... The ...
Applied machine learning techniques can identify tweeters' behaviors in real time and locate them to within 100 meters, according to a paper Rochester University computer scientists published earlier this month...
