March 18, 2016 — The game’s up, friends. An uber-smart group at the University of Rochester, led by Nabil Hossain, has developed a machine to spot alcohol-related tweets. They claim it could have a significant impact on responding and understanding alcohol’s role in public health issues.
The algorithm will spot tweets related to alcohol or sent by people drinking alcohol and it will also find the Twitter sender’s location, whether at home or not. The test involved 11,000 tweets associated with alcohol. The Rochester group teamed up with Amazon’s Mechanical Turk crowdsourcing service to help with detailed analysis.
So now they can tell where the tweet originated, whether from home or close to home, or elsewhere, time of day or in this case, night, and eventually they will study alcohol consumption by age, sex, ethnicity and so on.
Maybe someone will come up with an app that tests for alcohol before using Twitter. It could save a lot of marriages.
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