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KMID : 1142620200120010013
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Korea Aging Friendly Industry Association
2020 Volume.12 No. 1 p.13 ~ p.20
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The trend of the elderly jobs using news article Big date: 2010-2019
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Kim Young-A
Park Yun-Hee
Cha Su-Min
Lee Hye-Jin
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Abstract
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Objective : As for the research on the jobs for the elderly, as many studies have been conducted as the interests of society in the age of aging, analytical research using big data has not been conducted. The purpose of this study is to collect and analyze data using the big data technology for news articles about the elderly jobs, and visualize them to grasp the trend of the elderly jobs in the last 10 years.
Methods : We used Naver's news database through texttom, a web-rolling tool, by setting the longest period from 2010 to 2019 to check the statistics of the number of Naver searches on the website according to the jobs of the elderly and to analyze the news articles of the past 10 years. As a result of collection, 926 titles and original texts were collected, and duplicate articles were excluded.
Results : Analyzing data related to elderly jobs, indicated that searches on naver these keywords is steadily increasing. An analysis of news and article titles revealed that elderly job related news and social activity support projects were the most common keywords. Additionally, the contributor 'Ministry of Health and Welfare' was in a large part of the data set. Text visualization was done by word clouds, network graphs and ego network.
Conclusion : This study suggests that job services for the elderly are progressing, especially through 'social activity support projects'. We therefore conclude that constant attention and support for elderly jobs related projects is required and that it is necessary to analyze trends related to the types of senior jobs. It is expected that this study will be used as a basis for various big data studies to be conducted in the future.
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KEYWORD
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elderly jobs, Big date, Trend analysis
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FullTexts / Linksout information
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Listed journal information
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