Abstract
This research, funded under the project AP19679847 “Development of methods for the analysis of the Kazakh political discourse”, focuses on developing advanced techniques for analyzing political discourse on social networks in the Kazakh language. This article presents a comprehensive analysis and formalization of the process of conducting pre-election debates the example of the Republic of Kazakhstan, based on official rules and conditions. The study highlights the interdisciplinary nature of political discourse analysis on social media, integrating knowledge from politi-cal and social sciences, as well as computer science. Particular attention is paid to the creation of an ontological model of election debates using the Protégé and RDF system to structure knowledge about the de-bates. This made it possible to identify key actors, their relationships and create the basis for the development of sentiment analysis tools on election topics. The model focuses on answering key questions related to the organization and conduct of debates, making it a valuable tool for optimizing political strategies and improving the effectiveness of election campaigns in the future.