Month: May 2023

On 23rd May, 2023 the “Text Mining and Artificial Intelligence Training Program” was successfully held by Orsolya Ring, Ákos Máté and Péter Gelányi with 11 beginner level and 5 advanced level participants. The course introduced participants to basic text mining tasks and their applications in social sciences. They were given an overview of the differences between information retrieval and information extraction, as well as the concept of bag of words and sentiment analysis.

Members of poltextLAB attended a conference of the COMPTEXT international text mining network in Glasgow from 12 to 13 May. At the COMPTEXT conference, poltextLAB’s research was presented at the following presentations: Miklós Sebők – Amnon Cavari – Ákos Máté:Assessing the Policy Agenda of U.S. Presidential Speeches – A Sentence-Level Deep Learning Approach Ákos Máté – Miklós Sebők – Ádám Feldmann:The last frontier for automated classification in comparative politics? Using multilanguage large language models Péter Gelányi:Tipping the scales: A text mining analysis concerning the effects of government influence on online media in Hungary The conference program is available here.

The journal article by Miklós Sebők, Rebeka Kiss and István Járay has been published in the Journal of Knowledge Economy on May 8, 2023, entitled Introducing HUNCOURT: A New Open Legal Database Covering the Decisions of the Hungarian Constitutional Court for Between 1990 and 2021. The article is available here: https://doi.org/10.1007/s13132-023-01395-6 The PDF version can be found here: https://link.springer.com/content/pdf/10.1007/s13132-023-01395-6.pdf

The Visegrad Fund approved the funding of the grant proposal ‘Identifying News Slant in Crisis Communication Using Artificial Intelligence’ of the Centre for Social Sciences. Orsolya Ring, a research fellow at the Institute of Political Science and senior researcher at poltextLAB, lead the one-and-a-half-year research programme. The research, with partners from the Czech Republic, Poland and Slovakia, will investigate the bias associated with different crises in online media using artificial intelligence.