Laura Majer

Laura Majer graduated from the Faculty of Electrical Engineering and Computing and has since worked on two research projects there. She is currently a PhD student at FER focused on NLP, working in disinformation research, sentiment analysis and other topics spanning from psychology to political sciences.

Beyond the Labels: Handling Subjectivity in Textual Analysis

Together with Ana Barić, Laura will present two published, co-authored research papers, both exploring the complex task of sentiment analysis in news headlines. Covering a topic where it is hard to stay neutral, Ana and Laura will focus on the broader challenges that anyone could encounter when solving a subjective problem – the key principles and pitfalls of leading data annotation projects, the connection between annotator subjectivity and model uncertainty, and the features of two contrasting machine learning paradigms in NLP: the common fine-tuning approach and the emerging in-context learning paradigm.