Skip to main content
ENHU
Home

Main navigation

  • Discover
    • News
    • Events
    • Tenders
  • Research fields
  • Resources
    • Publications
    • Downloads
  • About us
  • Partners
  1. Home

Miklós Sebők

Researcher
Centre for Social Sciences
Széchenyi Plusz RRF

Miklós Sebők is a Senior Research Fellow of 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 the director of the Institute for Political Science at Centre for Social Sciences and the research director of the Hungarian Comparative Agendas Project. His research interests include political economy and public policy and the application of text mining methods in these fields. His work appeared in, inter alia, the Business and Politics, the Political Analysis, the European Journal of Political Research, the European Political Science Review, the Journal of Legislative Studies, the Journal of Public Budgeting, the Journal of Comparative Politics, the Japanese Journal of Political Science and Intersections. His book chapters appeared with Oxford and Palgrave. He served as the editor for the first Hungarian language handbook on “Quantitative Text Analysis and Text Mining in Political Science” (L’Harmattan, 2016).

  • Homepage
  • Linkedin
  • Google Scholar
  • MTMT

Selected publications

  • Miklós SEBŐK – Sándor KOZÁK, 2020, „From State Capture to ‘Pariah’ Status? The Preference Attainment of the Hungarian Banking Association (2006-2014)”, Business and Politics 
  • Miklós SEBŐK - Zoltán KACSUK, 2020, “The Multiclass Classification of Newspaper Articles with Machine Learning: The Hybrid Binary Snowball Approach”, Political Analysis (forthcoming). Replication materials: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/CFHOCU
  • Flóra BOLONYAI - Miklós SEBŐK, 2020, “Kvantitatív szövegelemzés és szövegbányászat” (“Quantitative Text Analysis and Text Mining), in: Jakab, A. – Sebők, M. (eds.) Empirikus jogi tanulmányok (Empirical legal studies). Osiris, 2020 (forthcoming)
  • Miklós SEBŐK, Pascal SCIARINI, Julien JAQUET, Tamás BERKI and Flóra BOLONYAI 2020, “The Power and Viscosity of Legislatures in Old and New Democracies: A Comparative Text Reuse Analysis.” (under review) 
  • Miklós SEBŐK – Tamás BERKI: „Punctuated Equilibrium In Democracy and Autocracy: An Analysis of Hungarian Budgeting Between 1868 and 2013”. European Political Science Review, 2018:(4) pp. 589-611.
  • Miklós SEBŐK – Tamás BERKI: „Incrementalism and Punctuated Equilibrium in Hungarian Budgeting (1991-2013)”. Journal of Public Budgeting, Accounting and Financial Management, 29:(2) pp. 151-180.
  • Miklós SEBŐK – Bálint KUBIK – Csaba MOLNÁR: „Exercising Control and Gathering Information: The Functions of Interpellations in Hungary (1990-2014)”. Journal of Legislative Studies, 2017:(4) pp. 465-483. 
  • Miklós SEBŐK (szerk.) Kvantitatív szövegelemzés és szövegbányászat a politikatudományban (Quantitative Text Analysis and Text Mining in Political Science). Budapest: L'Harmattan Kiadó, 2016.

 

Publications

The Multiclass Classification of Newspaper Articles with Machine Learning: The Hybrid Binary Snowball Approach

Miklós Sebők
Zoltán Kacsuk
Read more
Read more

The effect of central bank communication on sovereign bond yields: The case of Hungary

Miklós Sebők
Barczikay Tamás
Read more
Read more

The effect of central bank communication on sovereign bond yields: The case of Hungary

Miklós Sebők
Barczikay Tamás
Read more
Read more

Pagination

  • 1
  • 2
  • › Next page
  • » Last page
Home

LinkedIn

Become a partner

Subscribe to newsletter

Send partnership request

Explore

  • News
  • Events
  • Tenders
  • Publications
  • Downloads
  • Partners

Research fields

  • Foundations of AI
  • Human Language Processing
  • Machine perception
  • Medical, Health and Biology
  • Security and Privacy
  • Sensors, IoT and Telecommunications

Contact us

Hungary, H-1111 Budapest,
Kende u. 13-17.
+36 1 279 6000
@email

© 2020-2021 Artifical Intelligence National Laboratory, Budapest