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KMID : 1001320230500020039
Social Welfare Policy
2023 Volume.50 No. 2 p.39 ~ p.65
Changes in Self-sufficiency projects based on Conditions - Focusing on Atypical Big Data Analysis on Self-sufficiency Projects in Korea -
Kim So-Hyeong

Kim Kyun-Ok
Abstract
This study was conducted for the purpose of analyzing and examining changes in self-sufficiency projects based on conditionality through text mining on academic research on self-sufficiency projects. As a result of the analysis, first, low income, economic condition, program, and self-sufficiency support showed the highest frequency. Second, in the semantic network analysis, economic performance showed a strong connection with the self-sufficiency project¡¯s goal for dehydration, but it was also confirmed that the request for a goal that reflected the characteristics of the participants was also confirmed. Third, as a result of topic analysis between key words, it was classified into three topics, ¡®self-sufficiency project goal evaluation and participant¡¯s labor performance¡¯, ¡®realistic difficulties related to self-sufficiency goal and network-oriented alternative system¡¯, and ¡®conditional supply as two attributes of self-sufficiency project system and social safety net¡¯. The policy goals and targets of the self-sufficiency project must be realistic, and the self-sufficiency workplace must promote the overall life of the participants.
KEYWORD
Conditional supply and demand system, self-sufficiency projects performance, text mining, topic analysis
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