19 April 2016
Huge amounts of posts in social media are generated every day. People share their opinions and sentiments about what is going on in the world. To evaluate these opinions automatically computers can interpret and “understand” the content and also in particular the attitude of a writer. At one of the most important international competitions in text sentiment analysis two ETH Master’s students designed the most accurate algorithm worldwide. Jan Deriu and Maurice Gonzenbach won the 2016 SemEval text sentiment classification competition, placing first out of 34 teams from all over the world.