The people behind ParlText.

ParlText is built by researchers in Budapest and Bratislava in collaboration with partners across Europe.

Photograph of Miklós Sebők
Principal Investigator

Miklós Sebők

Research Affiliate, CEU Democracy Institute, Budapest; Syracuse University. PI of poltextLAB AI Laboratory.

His research has appeared in East European Politics, European Journal of Political Research, European Political Science Review, Journal of Legislative Studies, Policy Studies Journal, Political Analysis, and Social Science Computer Review. Co-editor of Policy Agendas in Autocracy, and Hybrid Regimes: The Case of Hungary (Palgrave, 2021, with Zsolt Boda).

Legislative studies · Political economy · Text mining · ML
miklos.sebok[at]poltextlab.com
Photograph of Csaba Molnár
Assistant Professor

Csaba Molnár

Assistant Professor, Department of Political Science, Institute of Social and Political Sciences, Corvinus University of Budapest. Member of the Hungarian Comparative Agendas Project and poltextLAB.

His research has appeared in Journal of Public Policy, European Political Science, and Journal of Legislative Studies. Co-author of Modern Hungarian Political Thought: Ideologies and Traditions (Palgrave, 2024, with Zoltán Balázs).

Legislative studies · History of political thought · Right-wing radicalism
csaba.molnar[at]uni-corvinus.hu
Photograph of Jakub Szabó
Research Fellow

Jakub Szabó

Research Fellow, Institute of European Studies and International Relations, Faculty of Social and Economic Sciences, Comenius University of Bratislava.

Works on political economy, survey research, data analysis, and text mining — with a focus on Slovak and broader Central- European legislative dynamics.

Political economy · Survey research · Data analysis · Text mining
Photograph of Anna Takács
Research Assistant

Anna Takács

Research Assistant, poltextLAB.

Bachelor's in Applied Economics (Corvinus University of Budapest); Master's in International Economy and Management (John von Neumann University), with a thesis on exchange-rate modelling using news articles.

Political economy · Data analysis · Machine learning