Emanuele Di Rosa, Finsa

Dr. Di Rosa is currently Chief Science/Technology Officer at Finsa s.p.a. (Italy). His industrial research focuses on Sentiment Analysis and on designing/building ready-to-market AI-based products. He designed Finsa semantic engine and App2Check, a sentiment analysis application currently used by big companies in Italy. He:

• published 3 scientific papers in 2016 about machine learning-based sentiment analysis, and he is co-author of 17 papers about Artificial Intelligence
• won the Irony Detection task at Evalita SentiPolc 2016
• got the second place at ESWC2016 Semantic Sentiment Analysis Challenge
• is now in the board of ESWC-17 Challenge on Semantic Sentiment Analysis