텍스트 마이닝 기법을 이용한 ‘장애인’ 키워드 민원 데이터 분석 : 시각장애인을 중심으로 = Civil Complaint Data Analysis Using Text Mining : Focusing on the Visually Impaired

다국어 초록 (Multilingual Abstract)

Although the number of people with disabilities registered in Korea is increasing every year, continuous awareness improvement is needed to ensure the fundamental human rights of people with disabilities, which have been lowered due to social prejudice and discrimination against them. Therefore, this study analyzes civil complaint data with the keyword 'people with disabilities' and tries to identify the main inconveniences of the disabled and derive improvements. We collected complaints about 'people with disabilities' from November 1, 2018 to November 1, 2021 at the Anti-Corruption and Civil Rights Commission OPEN API and identified core complaints by implementing big data-based text mining and word cloud and network graphs. As a result of the analysis, 'braille marking' and 'height of curb that installed at the boundary between sidewalk and road' were deduced as significant inconveniences. In order to solve the inconveniences, it is considered that it is necessary to make it mandatory for indoor convenience facilities and medicines, to prevent damage to the Braille block due to the increase in the use of personal mobility devices such as electric kickboards, and to improve the sidewalk for the visually impaired. In addition, it is expected that positive policies to improve the quality of life of the disabled can be presented based on the inconveniences and needs of the disabled identified in this study.

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