The Implication from Analyzing Community Development Issues: LDA & DMR Topic Modeling Analysis of Cheongdo-gun Case

This study aims to discover the utility of big data analysis in research related to community development and to derive meaningful implications. To achieve this, the case of Cheongdo-gun, despite of a designated depopulation area, experiencing a rapid increase in temporary residents, was examined. Alongside a literature review on the region, Latent Dirichlet Allocation (LDA) and Dirichlet Multinomial Regression (DMR) topic modeling were conducted on 7,599 news articles from 89 media outlets collected from BigKinds between 2014 and 2023. This analysis enabled an understanding of the interrelations and changes among community development issues in Cheongdo-gun, such as cultural and artistic content, ecological and historical tourism, population influx policies, local festivals, and community activities. This study is significant in that it demonstrates how LDA and DMR topic modeling, using big data, objectively synthesizes specific issues within the sociocultural context of the community development.