학교 밖 청소년 문화예술교육에 대한 빅데이터 분석

Abstract

The purpose of this study was to closely analyze the perceptions of arts and cultural education for out-of-school youth by using the big data analysis method. Specifically, it aimed to suggest the implications for the policy direction of arts and cultural education for out-of-school youth by grasping the connection by keyword based on words derived from the web. This study selected social media data left on Naver, Daum, Google, YouTube and Twitter by selecting arts and cultural education for out-of-school youth as a keyword. The analysis period of the data was conducted from January 14, 2019 to January 14, 2020 for the last one year, and the text mining, semantic connection network, N-gram network, and Word Cloud were conducted in stages. The main analysis results of the study are as follows. First, the top 10 words derived based on the keyword of arts and cultural education for out-of-school youth (11,319), out-of-school youth (9102), cultural support (8909), arts and cultural (5393), art (2834), cooperation (1985), youth shelter (1985), arts and cultural education program (1834), local government (1797), and experience (1612). Second, as a result of conducting the N-gram network craft, the words in the top 10 are youth cultural support (4,882), arts and cultural youth (1,794), local government cooperation (1,783), cultural support out of school (835), dreams Darak Saturday school of culture(632), Saturday culture school support (612), child-youth (590), positive effect (553), learning positive(492), out-of-school youth shelter (482), cultural support (478).