Preface
This book is dedicated to the analysis of opinions in human–human and human–agent interactions. We shall present methods based on artificial intelligence (through learning models of socio-emotional behaviors, combining symbolic and machine learning methods) and affective computing (analysis and synthesis of socio-emotional signals).
The work presented here is essentially that which was submitted for my Habilitation à diriger des recherches (HDR) on May 29, 2017. It was written from an essentially personal perspective and was not intended to provide exhaustive coverage of the field in question. My vision of the subject evidently bears the marks of my own research career in both academic and industrial settings.
Following my doctoral thesis on acoustic recognition of emotions [CLA 07], I took up a research post in the R&D center at Thales Research and Technology. Later, I extended my field of study from acoustic analysis to natural language processing in the context of opinion analysis studies carried out at EDF Lab.
Since 2013, I have held a teaching and research post at the LTCI (Laboratoire Traitement et Communication de l’Information, Information and Communications Processing Laboratory) at Telecom-ParisTech. My current research builds on the work I carried out at EDF Lab on the analysis of opinions and feelings in written and oral interactions, encompassing the treatment of emotions and social attitudes in human–agent interactions. More specifically, my aim is to ...