Orsolya Ring

Orsolya Ring is a Research Fellow at the HUN-REN Centre for Social Sciences (CSS). She received her PhD in History from Eötvös Loránd University Budapest. She is involved in the Political and Legal Text Mining and Artificial Intelligence Laboratory (poltextLAB) research group of HUN-REN CSS and the V-SHIFT Momentum research project funded by the Hungarian Academy of Sciences. She has been awarded the CLARIN ESFRI project ParlaMint grant for the linguistic coding of Hungarian legislative documents. Orsolya has contributed significantly to the creation of media databases in the Hungarian Comparative Agendas Project. In her research, she has recently focused on the methodological issues of text analysis, which go beyond large language models. She is the leader of emotion analysis-related research using Large Language Models in social science within the Artificial Intelligence National Laboratory Project (MILAB) in Hungary. She is an expert on different approaches to sentiment analysis in Hungarian political texts and co-authored the BERT-based model for emotion analysis of political texts. Last year, she was awarded a Visegrad International Fund grant for her research on media bias related to various crises in the V4 countries using large text corpora analysis with AI methods.

Academic expertise

Emotion analysis with large language models, natural language processing, classification of large-scale text corpora

Topic for press interviews

Emotion analysis with AI, Emotion in political text

Contact Information

[email protected]