Felipe Bravo-Márquez

Associate Professor in the Department of Computer Science at the University of Chile and Young Investigator of the Millennium Institute Foundational Research on Data. He did his PhD in the Machine Learning group at the University of Waikato, New Zealand, where he also worked as a Research Fellow for two years. He currently holds an Honorary Research Associate position in this group. Previously, he received two professional degrees in computer engineering and industrial engineering, and a master's degree in computer science from the University of Chile. He worked for three years as a research engineer at Yahoo! Labs Latin America. His research interests and expertise focus on knowledge and information acquisition from natural language, covering the areas of natural language processing (NLP), machine learning (ML), artificial intelligence (AI) and information retrieval (IR). In his research, he has developed several NLP and ML methods for opinion and emotion analysis in social media, which have been published in prestigious conferences and journals such as IJCAI, ECAI, JMLR and Knowledge-based Systems. He has served on the program committee at major conferences in natural language processing and artificial intelligence, such as ACL, EMNLP, NAACL, IJCAI and ECAI.

Felipe has co-organized two shared tasks on the automatic analysis of emotions in tweets. One of the tasks was made part of SemEval, the main event where a task in natural language processing can be hosted, and attracted around 200 participants from all over the world. He is the lead developer and maintainer of AffectiveTweets software, an open source tool for analyzing emotions and sentiment about tweets. His work has been cited over 1000 times (Google scholar, January 2019). He has given invited talks on NLP and deep learning at several Chilean universities, the University of Melbourne, the National Research Council, Canada, and the Institute for Computational Linguistics at the University of Zurich, among others.