Humans experience of the world can be decomposed into Cognition (what we think), Affects (what we feel) and Action (what we do). Until now, computers have been very successful in the Cognitive and Action domains: computers replace, extend and analyze how we act and think. Much less has been achieved in the domain of computerized recognition, interpretation, processing and simulation of affects and in particular human emotions. In this talk i'll present our work on affects in text. The talk will cover both detection and expression of affect in textual messages. The first part will include emotion detection using word-embeddings, and detection in more advance settings of conversations. The generation will show how to express personality traits using deep learning approach.*
*The material for this talk was published during 2016-2017 in top conferences.
Dr. Michal Shmueli-Scheuer is the senior researcher of the Information Retrieval research group (Cognitive Analytics and Solutions department) in IBM Research - Haifa, with over 10 years of industry experience. She holds a Ph.D (2009) degree in Information and Computer Science from the University of California, Irvine, USA.
Her area of expertise is in the fields of affective computing, user modeling, large scale analytics, database, and information systems, focusing on user behavior analytics and information management on the web.
She has published more than 20 academic papers in leading conferences, and journals, and book chapters. She has served as a PC member and a reviewer of numerous leading conferences and journals.
Within IBM, she has lead numerous user modeling related projects and has been recognized for her significant contributions. She has been an adjunct lecturer in the IE&M faculty in the Technion -Israel Institute of Technology, where she has taught undergraduate level course