Posted on Dec. 10, 2021
Yesterday, Gilles Jacobs successfully defended his PhD on Extracting Fine-Grained Event and Sentiment from Economic News. He was supervised by Professor Véronique Hoste, Professor Els Lefever and professor Diane Breesch.
The past years Gilles has worked on machine learning-based approaches for obtaining structured factual data alongside subjective information from business news reporting for use in financial applications. To this purpose he created an extensive dataset for fine-grained event extraction and sentiment analysis in economic news, named SENTiVENT. This novel resource was validated with machine learning experiments in which state-of-the-art deep learning models were applied in coarse- and fine-grained settings.
The actual defence was preceded by a workshop on "NLP for Economics".
Congratulations dr. Jacobs!