دورية أكاديمية

Exploring the health care system’s representation in the media through hierarchical topic modeling

التفاصيل البيبلوغرافية
العنوان: Exploring the health care system’s representation in the media through hierarchical topic modeling
المؤلفون: Ravil I. Mukhamediev, Marina Yelis, Kirill Yakunin, Yelena Popova, Yan Kuchin, Adilkhan Symagulov, Nadiya Yunicheva, Elena Zaitseva, Vitaly Levashenko, Elena Muhamedijeva, Viktors Gopejenko, Rustam Mussabayev
المصدر: Cogent Engineering, Vol 11, Iss 1 (2024)
بيانات النشر: Taylor & Francis Group, 2024.
سنة النشر: 2024
المجموعة: LCC:Engineering (General). Civil engineering (General)
مصطلحات موضوعية: Health care, mass media, natural language processing, topic modeling, Chen Jenhui, Full Professor, Computer Science and Information Engineering, Chang Gung University, No. 259, Wen-Hwa 1st Road, Kweishan, Taoyuan, Taiwan, Technology, Engineering (General). Civil engineering (General), TA1-2040
الوصف: AbstractAs 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 23311916
2331-1916
العلاقة: https://doaj.org/toc/2331-1916Test
DOI: 10.1080/23311916.2024.2324614
الوصول الحر: https://doaj.org/article/b9dba1c75dd54ebea62b4df499e07f4bTest
رقم الانضمام: edsdoj.b9dba1c75dd54ebea62b4df499e07f4b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23311916
DOI:10.1080/23311916.2024.2324614