Dr Felipe Bravo Márquez
Qualifications: PhD Waikato, MSc Uchile, BEng Uchile (Industrial Engineering), BEng Uchile (Computer Science)
I received my PhD degree from the University of Waikato. Previously, I received two engineering degrees in the fields of computer science and industrial engineering, and a masters degree in computer science, all from the University of Chile. I worked for three years as a research engineer at Yahoo! Labs Latin America.
My research interests and expertise lie in the acquisition of knowledge and information from unstructured data, particularly natural language text, spanning the overlapping fields of natural language processing (NLP), data mining (DM), machine learning (ML), information retrieval (IR), and social media analysis (SMA). My main research goals are to study society by computationally analysing traces left by humans in the digital space.
Bravo Marquez, F., Frank, E., & Pfahringer, B. (2018). Transferring sentiment knowledge between words and tweets. Web Intelligence, 16(4), 203-220. doi:10.3233/WEB-180389 Open Access version: https://hdl.handle.net/10289/12209
Mohammad Saif., Bravo Marquez, F. J., Salameh Mohammad., & Kiritchenko Svetlana. (2018). Semeval-2018 Task 1: Affect in tweets. In Proc 12th International Workshop on Semantic Evaluation (pp. 1-17). New Orleans, LA, USA: ACL. doi:10.18653/v1/S18-1001
Mohmmad, S. M., & Bravo-Marquez, F. (2017). WASSA-2017 shared task on emotion intensity. In Proc 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (pp. 34-49). Copenhagen, Denmark: Association for Computational Linguistics. Retrieved from http://aclweb.org/anthology/W17-5205
Mohammad, S., & Bravo-Marquez, F. (2017). Emotion intensities in Tweets. In Proc 6th Joint Conference on Lexical and Computational Semantics (pp. 65-77). Vancouver, Canada: Association for Computational Linguistics. doi:10.18653/v1/S17-1007 Open Access version: https://hdl.handle.net/10289/11513