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http://dx.doi.org/10.5392/JKCA.2020.20.11.110

Sentiment Analysis of Elderly and Job in the Demographic Cliff  

Kim, Yang-Woo (한국보건복지인력개발원)
Publication Information
The Journal of the Korea Contents Association / v.20, no.11, 2020 , pp. 110-118 More about this Journal
Abstract
Social media data serves as a proxy indicator to understand the problems and the future of public opinion in Korean society. This research used 109,015 news data from 2016 to 2018 to analyze the sensitivity of the elderly and employment in Korean society, and explored the possibility of expanding the labor force in Korean society, which is facing a cliff between the elderly and the population. Topic keywords for employment of the elderly include "elderly*employment", "elderly*employment", and "elderly*wage". As a result of the analysis, positive sensitivity prevails for most of the period, and it is possible to expand the working-age population. Positive feelings about expanding employment opportunities for the elderly and negative feelings about low wages have brought to light the reality of the elderly who are still poor despite their work. In this study, social big data was used to analyze the perceptions and sensibilities of Korean society related to the elderly and employment through hierarchical crowd analysis and related text mining analysis.
Keywords
Big Data; Sentiment Analysis; Elderly; Low Birthrate and Aging; Jobs;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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