Language:

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

Cogent engineering, 2024-12, Vol.11 (1) [Peer Reviewed Journal]

EISSN: 2331-1916 ;DOI: 10.1080/23311916.2024.2324614

Full text available

Citations Cited by

Actions
1. Add to My Research
2. Remove from My Research
3. E-mail
4. Print
5. Permalink
6. Citation
7. EasyBib
8. EndNote
9. RefWorks
10. Delicious
11. Export RIS
12. Export BibTeX

Title:
Exploring the health care system’s representation in the media through hierarchical topic modeling
Author: 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
Subjects: Chen Jenhui, Full Professor, Computer Science and Information Engineering, Chang Gung University, No. 259, Wen-Hwa 1st Road, Kweishan, Taoyuan, Taiwan ; Health care ; mass media ; natural language processing ; Technology ; topic modeling
Is Part Of: Cogent engineering, 2024-12, Vol.11 (1)
Description: 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.
Publisher: Taylor & Francis Group
Language: English
Identifier: EISSN: 2331-1916
DOI: 10.1080/23311916.2024.2324614
Source: Open Access: DOAJ Directory of Open Access Journals
Taylor & Francis (Open access)
ProQuest Central

Back to results list


INSPIRE LIBRARY - TON DUC THANG UNIVERSITY	(84-028) 37 755 057	Feedback
19 Nguyen Huu Tho St. Dist.7, HCM	thuvien@tdtu.edu.vn	Feedback

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

EISSN: 2331-1916 ;DOI: 10.1080/23311916.2024.2324614

Searching Remote Databases, Please Wait