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KCI등재 학술저널

텍스트 마이닝(Text-mining)기법을 활용한 젠트리피케이션 (Gentrification) 현상의 속도 분석 연구

종로구 익선동 젠트리피케이션 현상을 중심으로

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Ik-seon dong is one of the hot place in Seoul especially in these days. This means lots of money and people have been gathering in Ik-seon dong, gentrification was resulted in here. This showed Seoul’s these day’s gentrification, Too fast. Actually Seoul wanted to make detailed design plan in Ik-seon dong, but because of rapid speed, it was really hard work. As a result the plan was made in 2018, but the gentrification of Ik-seon dong give lots of information. In this situation, for analysing the gentrification, proper information, such as land use, the number of visitors, would be needed. However it is really difficult work because there isn’t data base about that. Text-mining is a analysis method using social network, so in this research, there are proper opportunity to reveal Ik-seon dong’s Gentrification.

Ⅰ. 서론

Ⅱ. 이론적 고찰

Ⅲ. 익선동 젠트리피케이션 과정 분석

Ⅳ. 익선동 젠트리피케이션 현상에 대한 텍스트 마이닝 분석

Ⅴ. 결론 및 시사점

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