Multimodal Analysis of Opinions in Interactions

Chloé Clavel is an associate professor in Affective Computing in the GRETA Team belonging to the MM (multimedia) group of the Signal and Image Processing Department of Telecom-Paris. Her research focuses on two issues: acoustic analysis of emotional speech and opinion mining through natural language processing. After her PhD, she worked in the laboratories of two big French companies that are Thales Research and Technology and EDF R&D where she developed her research around audio and text mining applications. At Telecom-Paris, she is currently working on interactions between humans and virtual agents, from user’s socio-emotional behavior analysis to socio-affective interaction strategies.

Emile Chapuis graduated as a Master of Science in Applied Mathematics from the University of Paris Saclay, France, in 2017. He is currently a PhD student in the S2A (Signal, Statistics and Learning) and GRETA teams of Telecom-Paris, under the supervision of Chloe Clavel. His main research focus on deep learning, structured learning and their applications in sentiments analysis in human-agent interactions.

Valentin Barriere is a PhD student working in the S2A (Signal, Statistics and Learning) and GRETA teams of Telecom-Paris since october 2015, under the supervision of Chloé Clavel and Slim Essid. he works on the detection and analysis of opinion in oral interactions. He uses probabilistic graphical models for opinion mining, using hybrid techniques recognizing linguistic patterns with Machine Learning methods in order to characterize an expression of opinion.

Chloé Clavel is an associate professor in Affective Computing in the GRETA Team belonging to the MM (multimedia) group of the Signal and Image Processing Department of Telecom-Paris. Her research focuses on two issues: acoustic analysis of emotional speech and opinion mining through natural language processing. After her PhD, she worked in the laboratories of two big French companies that are Thales Research and Technology and EDF R&D where she developed her research around audio and text mining applications. At Telecom-Paris, she is currently working on interactions between humans and virtual agents, from user’s socio-emotional behavior analysis to socio-affective interaction strategies.

Slim Essid is Full Professor of Télécom ParisTech and the coordinator of the Audio Data Analysis and Signal Processing team. He received the state engineering degree from the École Nationale d’Ingénieurs de Tunis in 2001; the M.Sc. (D.E.A.) degree in digital communication systems from the École Nationale Supérieure des Télécommunications, Paris, France, in 2002; the Ph.D. degree from the Université Pierre et Marie Curie (UPMC) in 2005 and the habilitation (HDR) degree from UPMC in 2015. He has been involved in various French and European research projects among which are Quaero, EU Networks of Excellence FP6-Kspace and FP7-3DLife, and collaborative projects FP7-REVERIE and FP7-LASIE. On a regular basis he serves as a reviewer for various machine learning, signal processing, audio and multimedia conferences and journals, for instance various IEEE transactions, and as an expert for research funding agencies.

Having obtained a Master in Mathematics, Computer vision and Machine Learning, and previously the Agregation in Industrial Sciences, he is currently a PhD Student at Telecom-Paris under the supervision of Florence d'Alché-Buc, Chloé Clavel and Slim Essid. His research is focused on structured output prediction with square surrogate losses, the theoretical and algorithmic properties of such methods and their applications

Professor at Telecom ParisTech in the department "Image, Data and Signal". Her research maily focus on statistical learning from structured and/or temporal data, the modeling of dynamic systems and the prediction of links in networks.