텍스트마이닝을 활용한 서울시 수돗물 관련 키워드 변화 분석 = Analysis of Changes in Keywords related to Seoul Tap Water using Text Mining

다국어 초록 (Multilingual Abstract)

This study analyzes changes in keywords related to Seoul tap water using text mining techniques. A total of 9,861 newspaper articles from 1990 to 2024 were collected and analyzed through frequency and sentiment analysis. The frequency analysis revealed that in the 1990s, keywords such as “water rates,” “water quality,” and “environment” were prominent. In the 2000s, keywords related to “Arisu,” “water purifiers,” and “inspection” increased. The 2010s highlighted environmental concerns such as “algae,” “green tide,” and “pipe freeze,” while the 2020s saw an increase in keywords like “larvae,” “microplastics,” and “smart” systems. Sentiment analysis indicated that while negative sentiment dominated in the 1990s, positive sentiment steadily increased after the 2000s, reaching 76.6% in the 2020s. Articles containing the keyword “Arisu” showed a stronger emphasis on promotion and brand image management, displaying a more positive sentiment compared to general tap water-related articles. This study provides valuable insights into the evolution of public discourse on Seoul’s tap water, offering implications for future water policies and public relations strategies.