국내기사
텍스트마이닝 및 그림 이미지 분석을 활용한 어린이들의 도시재생 인식 분석 : 천안시 어린이 도시재생 그림 공모전 사례를 중심으로 = Analysis of children's perception of urban regeneration using text mining and picture image analysis : focusing on the case of Cheonan City children's urban regeneration painting contest
The purpose of this study is to analyze children's perceptions of urban regeneration through text mining and picture image analysis. For this purpose, we collected and analyzed the drawings and explanatory text submitted to the 2022 Cheonan Children's Urban Regeneration Drawing Contest. After refining the description of the picture, 50 major keywords were derived, the relationships between keywords were analyzed through semantic network analysis, sentiment analysis, and CONCOR analysis, and the picture was analyzed in connection with these. The main research results are summarized as follows. First, keywords such as parks, people, and friends were mentioned with high frequency. Second, as a result of semantic network analysis, the centrality of parks, friends, people, etc. was found to be high. Third, as a result of emotional analysis, 86.9% of all children felt positively about urban regeneration. Fourth, as a result of CONCOR analysis, four clusters were derived: surrounding people and places, daily life, region, rest and travel. Children perceived urban regeneration as focusing on the neighborhood in which they live, surrounding areas, friends, and neighbors, and expressed it as forming a basis for social activities through improvement of the physical environment. This differs from the perspective of adults, who recognize the importance of economic and physical regeneration. This study is significant in that it looks at urban regeneration from the perspective of children through text mining and picture image analysis.