Publications
Talk · International Conference on Education and Multimedia Technology · August 29, 2023
Development of an Ontological Model of Words in Public Political Discourse
Gulmira Bekmanova, Assel Omarbekova, Assel S. Mukanova, Altanbek Zulkhazhav, Alma Zakirova, Yerkin Ongarbayev
Abstract
The aim of the research is to develop methods for analyzing political discourse in social networks in the Kazakh language in order to identify official and unofficial information sources of political discourse, as well as to determine the mood of the discussion in these sources. The article presents an ontological model of the subject area of elections, a referendum.
Semantic Web and OntologiesSentiment Analysis and Opinion MiningComputational and Text Analysis Methodsontological modelpolitical discourseKazakh language
More by Altanbek Zulkhazhav
- Quantifying the Intelligibility–Expressivity Tradeoff in Emotion-Conditioned Kazakh Text-to-SpeechInternational Conference on Affective Computing and Intelligent Interaction Workshops and Demos · 2026
- Acoustic and Emotional Annotation of a Web-Harvested Kazakh Speech Corpus for Text-to-Speech2026
- Monitoring and comparative analysis of containerized environmentsFrontiers in Computer Science · 2026
- A Hybrid Attention-LSTM Model with Embedding-based Feature Representation for Student Academic Performance PredictionInternational journal of intelligent engineering and systems · 2026
