Exploring the health care system’s representation in the media through hierarchical topic modeling
Mukhamediev R.I. Yelis M. Yakunin K. Popova Y. Kuchin Y. Symagulov A. Yunicheva N. Zaitseva E. Levashenko V. Muhamedijeva E. Gopejenko V. Mussabayev R.
2024Cogent OA
Cogent Engineering
2024#11Issue 1
As a large social structure, the health care system is often reflected in media publications. This creates a significant impact on society’s attitude towards the system and the state in general. In order to predict and correct state policies, media actions, and identify media shortcomings, it is necessary to analyze the image portrayed by the media and the public’s attitude towards it. In this article, we present the results of a multidirectional analysis of a corpus of media publications related to health care. We propose a method for analyzing the information image of health care formed by the mass media based on a topic model of a text corpus. The method evaluates reader interest in various healthcare topics, the dynamics of changes in publication sentiment, and the main information trends. The article presents the results of analyzing a corpus of mass media publications in Kazakhstan from January 2020 to January 2023.
Chen Jenhui, Full Professor, Computer Science and Information Engineering, Chang Gung University, No. 259, Wen-Hwa 1st Road, Kweishan, Taoyuan, Taiwan , computer science, artificial intelligence, computer science (general), computing & IT security , Health care , mass media , natural language processing , Technology , topic modeling
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Institute of Cybernetics and Information Technology, Satbayev University (KazNRTU), Almaty, Kazakhstan
Institute of Information and Computational Technologies, Almaty, Kazakhstan
School of Engineering Management, Almaty Management University, Almaty, Kazakhstan
Transport and Telecommunication Institute, Faculty of Management and Economics, Riga, Latvia
Faculty of Management Science and Informatics, University of Zilina, Žilina, Slovakia
International Radio Astronomy Centre, Ventspils University of Applied Sciences, Ventspils, Latvia
Department of Natural Science and Computer Technologies, ISMA University of Applied Sciences, Riga, Latvia
Institute of Cybernetics and Information Technology
Institute of Information and Computational Technologies
School of Engineering Management
Transport and Telecommunication Institute
Faculty of Management Science and Informatics
International Radio Astronomy Centre
Department of Natural Science and Computer Technologies
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