국가균형발전정책에 대한 빅데이터 분석과 함의

A Big-data Based Analysis on National Balanced Development Policy and its Implications: Focusing on Semantic Network Analysis and Topic Modeling

This study aims to examine the issues of national balanced development policy by previous administrations and make its implications through big data analysis. Big data analysis techniques and text mining were employed as a methodology. Basic data for frequency analysis, semantic network analysis, and LDA analysis were constructed using news articles, and the characteristics of balanced national development by regime were analyzed with regard to these contexts. The results of analysis show that the balanced national development policy was not consistently conducted due to the change of the administration, leading to the gap between the metropolitan and non-metropolitan areas as well as an obstacle to balanced national development. The analysis results also suggest that sustainable and consistent policy implementation is necessary to reduce the gap between regions.