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.