Miklós SEBŐK is a Senior Research Fellow at the Centre of Social Sciences in Budapest. He earned an M.A. degree in politics at the University of Virginia and an M.A. degree in economics at the Corvinus University of Budapest. He received his Ph.D. in Political Science from ELTE University of Budapest. He currently serves as senior research fellow of the Institute for Political Science at the Centre for Social Sciences in Budapest. Miklós Sebők is also the research director of the Hungarian Comparative Agendas Project and the research co-director of the Artificial Intelligence National Lab at CSS, Budapest. His research interests include political economy, public policy and the application of text mining and machine learning methods in these fields.

Orsolya RING received her Ph.D. in History from ELTE University of Budapest. She is working in the poltextLAB Project on creation and classification of large-scale newspaper corpora and elaboration of a domain-specific method for Hungarian sentiment analysis applying various machine learning methods. She is also working on the building of large-scale historical text corpora and its analysis by NLP methods in the Research Group Computational Social Science (CSS-RECENS).

Csaba MOLNÁR studied political science (BA, MA Corvinus University of Budapest, BA, Nottingham Trent University). He earned a PhD from Corvinus University of Budapest. In the poltextLAB project he is responsible for NLP-related and database building tasks. His main research fields are right-wing radicalism and legislative studies. He also participates in the Hungarian Comparative Agendas Project where he works on legislative database development.

Rebeka KISS earned her bachelor's degree in public administration, then an undivided master's degree in science of public governance (University of Public Service). She is currently a PhD student of the Doctoral School of Public Administration Sciences of the University of Public Service, also a law student at the Faculty of Law of Eötvös Loránd University (ELTE). Her main field of research is legislation. Within constitutional law, her research focuses on the explanatory memorandum of laws. She has been involved in the CAP and poltextLAB projects since 2019.

Anna TAKÁCS earned her bachelor's degree in Applied Economics from Corvinus University of Budapest. She is currently enrolled for the International Economy and Management master's programme at John von Neumann University, where her thesis focuses on the modelling of exchange rates using news articles. 

Viktor KOVÁCS is a 4th year Computer Science Engineer student at University of Szeged. His primary interests include machine learning, neural networks and natural language processing. He currently writes his bachelor's thesis on diagnostic classification of schizophrenia using state-of-the-art deep learning models.

Martin Balázs BÁNÓCZY is a third-year Computer Science Engineer student specializing in artificial intelligence at Obuda University. His main areas of interest include machine learning, software development and image processing. In his bachelor thesis, he develops algorithms using neural networks for the segmentation and classification of aerial images.