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http://dx.doi.org/10.15207/JKCS.2022.13.05.313

A Study on the Current Situation and Trend Analysis of The Elderly Healthcare Applications Using Big Data Analysis  

Byun, Hyun (Exercise Rehabilitation Research Institutes, Gachon University)
Jeon, Sang-Wan (Exercise Rehabilitation Research Institutes, Gachon University)
YI, Eun-Surk (Dept. of Exercise Rehabilitation, Gachon University)
Publication Information
Journal of the Korea Convergence Society / v.13, no.5, 2022 , pp. 313-325 More about this Journal
Abstract
The purpose of this study is to examine the changes in the elderly healthcare app market through text mining analysis and to present basic data for activating elderly healthcare apps. Data collection was conducted on Naver, Daum, blog web, and cafe. As for the research method, text mining, TF-IDF(Term frequency-inverse document frequency), emotional analysis, and semantic network analysis were conducted using Textom and Ucinet6, which are big data analysis programs. As a result of this study, a total of six categories were finally derived: resolving the healthcare app information gap, convergence healthcare technology, diffusion media, elderly healthcare app industry, social background, and content. In conclusion, in order for elderly healthcare apps to be accepted and utilized by the elderly, they must have a good diffusion infrastructure, and the effectiveness of healthcare apps must be maximized through the active introduction of convergence technology and content development that can be easily used by the elderly.
Keywords
Text mining; Sentimental analysis; semantic network analysis; elderly; healthcare app;
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Times Cited By KSCI : 8  (Citation Analysis)
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