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@article{ART002871917},
author={Youn Ki Hyok},
title={Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021.},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2022},
volume={8},
number={4},
pages={25-40},
doi={10.20465/KIOTS.2022.8.4.025}

TY - JOUR
AU - Youn Ki Hyok
TI - Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021.
JO - Journal of Internet of Things and Convergence
PY - 2022
VL - 8
IS - 4
PB - The Korea Internet of Things Society
SP - 25
EP - 40
SN - 2466-0078
AB - This study aimed to understand the increasing number of elder abuses in South Korea, where entry into the super-aged society is imminent, by implementing text mining analysis. Korean Academic journals were obtained from 2004, the establishment year of the senior care agency, to 2021. We performed natural language processing of the titles, keywords, and abstracts and divided them into three segments of periods to identify latent meanings in the data. The results illustrated that the first section included 81 papers, the second 64, and the third 104 respectively, averaging 13.8 annually, which increased its numbers from 2014 until the decrease below the annual average in 2020. Word frequency demonstrated that the common keywords of the entire segments were ‘elder abuse,’ ‘elders,’ ‘influences,’ ‘factors,’ ‘recognition,’ ‘family,’ ‘society,’ ‘prevention plans,’ ‘experiences,’ ‘abused elders,’ ‘abuse prevention,’ ‘depression,’ etc., in consecutive order. TF-IDF indicated that ‘influences,’ ‘recognition,’ ‘society,’ ‘prevention plans,’ ‘abuse prevention,’ ‘experiences,’ ‘depression,’ etc., were the common keywords of all divisions. Network text analysis displayed that the commonly represented keywords were ‘elder abuse,’ ‘elders,’ ‘influences,’ ‘factors,’ ‘characteristics,’ ‘recognition,’ ‘family,’ ‘prevention plans,’ ‘society,’ ‘abuse prevention,’ and ‘experiences’ in the entire sections. concor analysis presented that the first segment consisted of 5 groups, the second 7, and the third 6. We suggest future directions for elder abuse research based on the results.
KW - elder abuse;elder protection agency;academic papers;text mining;concor analysis
DO - 10.20465/KIOTS.2022.8.4.025
ER -

Youn Ki Hyok. (2022). Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021.. Journal of Internet of Things and Convergence, 8(4), 25-40.

Youn Ki Hyok. 2022, "Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021.", Journal of Internet of Things and Convergence, vol.8, no.4 pp.25-40. Available from: doi:10.20465/KIOTS.2022.8.4.025

Youn Ki Hyok "Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021." Journal of Internet of Things and Convergence 8.4 pp.25-40 (2022) : 25.

Youn Ki Hyok. Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021.. 2022; 8(4), 25-40. Available from: doi:10.20465/KIOTS.2022.8.4.025

Youn Ki Hyok. "Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021." Journal of Internet of Things and Convergence 8, no.4 (2022) : 25-40.doi: 10.20465/KIOTS.2022.8.4.025

Youn Ki Hyok. Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021.. Journal of Internet of Things and Convergence, 8(4), 25-40. doi: 10.20465/KIOTS.2022.8.4.025

Youn Ki Hyok. Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021.. Journal of Internet of Things and Convergence. 2022; 8(4) 25-40. doi: 10.20465/KIOTS.2022.8.4.025

Youn Ki Hyok. Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021.. 2022; 8(4), 25-40. Available from: doi:10.20465/KIOTS.2022.8.4.025

Youn Ki Hyok. "Analysis of Research Trends in Elder Abuse Using Text Mining : Academic Papers from 2004 to 2021." Journal of Internet of Things and Convergence 8, no.4 (2022) : 25-40.doi: 10.20465/KIOTS.2022.8.4.025