Francesc Busquet is a Research Associate and PhD Candidate at the Institute of Behavioral Science and Technology at the University of St Gallen. His research interest lies at the intersection of machine learning and business. He is currently working in the external evaluation of emotion recognition services and the development of automated voice analytics tools.
Francesc received his B.Sc. in Economics and B.Sc. in Business Administration from the University of Girona in 2016 and his M.Sc. in Innovation and Research in Informatics, in which he specialized in Machine Learning, from the Polytechnic University of Catalonia. Prior to IBT, he worked at the University of Girona, in which he organized the first edition of the Postgraduate degree in Big Data Analytics applied to Business and Digital Marketing.
His interests are not limited to machine learning and business, in his free time Francesc is a passionate reader interested in topics as diverse as ecology and geopolitics.
- Busquet, F.; Efthymiou, F.; Hildebrand, C.; Hampton, W.; Hoffmann, D.& Novak, T. (2020). Voice Analytics in Business Research: Conceptual Foundations, Acoustic Feature Extraction, and Applications. Swiss Academy of Marketing Science (SAMS) Conference – Luzern.
- Busquet, F., Hildebrand C. (2020). Black-Box Emotion Detection: On the Variability and Predictive Accuracy of Automated Emotion Detection Algorithms. EMAC 2020 – The 49th Annual Conference of the European Marketing.
- Busquet, F. & Bergner, A. (2021). “Love the shape, but hate the weight”: Aspect-Based Sentiment Analysis to Identify Product Innovation. – AIM (Artificial Intelligence in Management) Workshop and Conference. – City of Los Angeles, California, United States of America.
- Hildebrand, C., Efthymiou, F., Busquet, F., Hampton, W. H., Hoffman, D. L., & Novak, T. P. (2020). Voice analytics in business research: Conceptual foundations, acoustic feature extraction, and applications. Journal of Business Research, 121, 364-374.