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- 저자 : 정수빈 ( Su-been Jeong ) (검색결과 2 건)
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인구의 서울 쏠림과 지방 쇠퇴의 원인 및 해결방안 : 감성분석을 중심으로
정수빈 ( Su-been Jeong ),김재원 ( Jae-won Kim ),박서윤 ( Seo-yun Park ),곽인상 ( In-sang Kwak ),주다영 ( Da-young Joo ) 한국감성과학회 2023 춘계학술대회 Vol.2023 No.-
South Korea, which has developed around Seoul, has gradually widened the gap between Seoul and the provinces. This caused overcrowding in Seoul and the decline of the provinces, and emerged as a national problem along with a decrease in population. This study studies the causes and solutions of the population's concentration in Seoul and local decline: focusing on big data and emotional analysis. Previous studies derive solutions through statistical-based numerical surveys. However, statistical-based surveys estimate the results by investigating based on what has already happened. Induction methods that infer results based on statistical facts have high accuracy, but there are emotional areas that cannot be investigated only by statistical techniques. In particular, people's perceptions of social problems and psychological factors for individual factors can be seen as emotional areas. To this end, emotional analysis and big data analysis, which were not well used in previous studies, were used. Through emotional analysis, people's interest and public opinion are analyzed to infer the cause of the problem, and big data is used to provide a basis for the inference results. In the case of the subject of this study, upper factors such as medical care, transportation, and culture and various lower factors are intertwined. Behind these factors lies the psychological elements of positivity and denial. Through emotional analysis, the relationship between these keywords is analyzed and the psychology of the public hidden therein is grasped. In particular, since psychology has a strong subjective tendency, there is a limit to investigating it only with statistical techniques and refining it to meaningful values that can be used for reasoning results. Therefore, problem analysis using emotional analysis techniques is necessary. Emotional analysis technology is a technology that extracts positive, negative, and neutral emotions from natural language data such as text and sentences, and text data is used for this. This study used these emotional analysis technologies to analyze positive and negative factors about Seoul's population growth and local population decline, which are considered the main causes, and to identify the characteristics and problems of each region.Through this, we would like to suggest ways to help policy alternatives to solve the problem of leaning toward Seoul and local decline.
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