빅데이터 분석을 통한 치유농업 의미연결망 변화에 관한 연구 -치유농업법 제정 전후를 중심으로-

This study compared and analyzed keyword changes in media reports before and after the enactment of the Agro-healing Act by using text mining techniques. To structurally understand the relationship between keywords related to Agro-healing, a semantic network analysis was performed using the co-occurrence network and inter-word correlation analysis. The relationship between concepts was identified according to the form in which the keywords were combined. In addition, a change in the relationship between keywords before and after the enactment of the Act was analyzed by theme from a structural point of view. For the analysis of data, news articles from Bigkinds were used. Specifically, from October 2017 to September 2022, 3,188 media reports focusing on Agro-healing and related keywords were used. The analysis results are summarized as follows: Prior to the enactment of the Act, a network was created using keywords according to resource types. The network included the targets for Agro-healing, viz. rural areas, animals and plants, horticulture, and insects, and its purpose which encompasses physical, psychological, emotional, and cognitive health. However, since the enactment of the Act, the keywords have been closely linked to healing subjects such as depression, dementia, stress, drug addiction, disability, and sickness. In addition, the results of this study suggest that policy support is needed that would enable various bodies, such as service, health service support, community organizations, and educational, social welfare, and rehabilitation institutions to perform the role of service providers.