빅데이터를 통해 살펴본 다문화가정에 대한 사회적 인식 탐색

Abstract

The purpose of this study is to provide basic data on effective support for multicultural families by examining the social perception of multicultural families through big data. To achieve this purpose, raw data was collected with ‘multicultural families’ keywords based on the big data provided by TEXTOM. The data collection process included the 1st and 2nd data cleansing processes and converted them into a 1-mode matrix dataset to perform keyword network analysis. In addition, LDA(latent dirichlet allocation) topic modeling analysis, which automatically derives topics through machine learning analysis using algorithms, was performed. Results: The social perception of multicultural families was found to include information on stakeholder group, stakeholder, policy & administration, social response and academic interest. Also, as a result of the topic modeling analysis on multicultural families, three topics (request for regionally customized multicultural family support benefits, request for a socially customized multicultural family support program, and request for research to develop family-centered support measures for multicultural families) were derived. Based on these results, not only was it possible to identify various considerations for supporting multicultural families, but it is also expected to provide meaningful implications for the preparation of measures for effective multicultural family support.