Abstract
This study aims to explore research trends in acculturation stress using text mining techniques. To achieve this, 387 papers related to acculturation stress, published in KCI-indexed journals over 16 years since the enactment of the Multicultural Families Support Act in 2008, were selected. Based on the Korean abstracts, a total of 1,762 keywords were extracted. NetMiner 4.5 was utilized to analyze unstructured data, employing keyword network analysis and LDA-based topic modeling. The study analyzed keyword frequency, co-occurrence keyword pairs, and centrality. Through LDA-based topic modeling, it was found that five topics were the most appropriate. Based on the derived results, the study reviewed research directions to advance the academic development of acculturation stress and provided educational implications.
Published Version
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