Invited Speaker

Invited Speaker

Hazem Hajj is an Associate Professor with the American University of Beirut (AUB) and a senior member of IEEE. Over the years, Hazem has established a strong mix of both industry and academics backgrounds. He has over 20 years of experience as a scientist and a technical leader. Before joining AUB, Hazem was a principal engineer at Intel Corporation, where he spent 12 years. Over the years, Hazem has been the recipient of numerous academic and industry awards, including: The Distinguished Scholar Award, the University of Texas Austin Regional Initiative Faculty Fellowship, 5 Teaching Awards at the University of Wisconsin-Madison including the most prestigious Teaching Excellence Award, and 7 industry awards at Intel Corporation. Hazem’s research interests include Artificial Intelligence and Energy-Aware Computing, with special interests in Data Mining, Machine Learning, Deep Learning, Context Aware Sensing, Vision Systems, and Emotion Recognition.  He has over 100 research publications in reputable journals and international conferences.

Title: OMA: Artificial Intelligence Models and Resources for Opinion Mining in Arabic
Date: November 5th, 2017, 11:30am,  Auditorium 

Abstract: Opinion mining, or sentiment analysis, continues to gain interest in industry and academics. While there has been significant progress in developing models for sentiment analysis, the field remains an active area of research for many languages across the world. This is particularly true for the Arabic language, which has become the 4th most used language on the Internet, and is the 4th most spoken language. In this talk, we discuss the outcomes of an on-going multi-year multi-institution research initiative that aims at advancing research in opinion mining in Arabic (OMA). We present the developed resources and the state of the art machine learning models for Arabic, including a web-based system for online opinion mining in Arabic. We conclude with a roadmap for the research in the field.