텍스트 네트워크 분석을 활용한 청년농업인 키워드 연구

초록

This study examined issues related to young farmers shared in the media through text network analysis. We conducted Term Frequency (TF) analysis, network centrality analysis, and CONvergence of iteration CORrealtion (CONCOR) analysis by using news article data from ‘Naver’ and ‘Daum’, two representative portal sites in Korea. The TF analysis showed that the keywords with the highest frequency over the past five years were ‘support’ and ‘nurturing’. The analysis also confirmed that support and nurturing are consistently core topics in the early stages of the Young Farmers Policy. The frequency of the keyword ‘smart farm’ has also been increasing since 2018. Over time, the keyword in terms of the region has changed from provincial governments to local governments. That means that the social interests and issues related to young farmers have been changed from large to small areas. Keywords like ‘stability’, ‘settlement’, ‘future’, and ‘growth’ were highly centralized in terms of centrality analysis. It means that young farmers need the support of governments and stabilization of life to grow pivotal people in rural areas. In addition, the CONCOR analysis identified clusters of ‘support and nurture’, ‘growth and future’, ‘management training lease farms’, and ‘next generation of agricultural managers’. These clusters have significant meanings for growing young farmers.

키워드