본 연구에서는 한진해운이 회생절차를 신청한 2016년 및 직전/직후년도(2015년/2017년)의 국내 언론매체에서 보도한 키워드를 분석함으로서 한진해운 사태가 미친 사회적 영향을 분석하는 것을 목적으로 한다. 연구의 방법은 빅데이터 쇼설마이닝 분석을 사용하였다. 매체별 추이분석 결과, 2016년 4월 자율협약 신청 시 높아진 매체관심도는 8월 한진해운의 법정관리 신청이 이루어지면서 최고조에 이르렀다. 특히 2017년 2월 17일 한진해운 파산선고 관련 소셜 매체 노출빈도 높았다. 긍부정 감성추이분석 결과, 2015년 한진해운에 대한 "긍정 감성어"(32.6%)가 "부정 감성어"(28.4)% 보다 높았다. 하지만 파산이 확정된 2017년도에는 향후 한국해운 및 물류에 대하여 "어려움 겪다(1위)"라는 키워드가 지배적이며, 특히 위기, 손실, 몰락, 분노 등의 격한 감정을 표현하는 감성어가 자주 노출되었다. 연관어 분석결과, 2017년의 경우 연관어 1위는 "파산(10,051)"이며, 다음으로 "경제(2위)", "한국(3위)", "기업(4위)", "정부(5위)"의 연관 키워드가 상위를 차지하였다.The purpose of this study was to analyze the key words of the reported contents by Korean media in 2016, when Hanjin Shipping applied for rehabilitation procedures, and the preceding year (2015) and the following year (2017), to determine the social effects of the case. An analysis of social mining of big data was used in this study. According to the results of a trend analysis by media, the media attention increased when a voluntary arrangement was applied in April 2016 and reached a crescendo when Hanjin Shipping filed for court receivership in August. On February 17, 2017, in particular, the declaration of bankruptcy of Hanjin Shipping was exposed in social media with high frequency. The results of sentiment analysis of positive and negative trends showed that “positive sentiment words” (32.6%) were higher than “negative sentiment words” (28.4%) on Hanjin Shipping in 2015. However, in 2017 when its bankruptcy was declared, the dominant key word was “having difficulty” (ranked No.1) for Korean shipping and distribution in the future, and sentiment words expressing strong feelings were frequently exposed, such as crisis, loss, collapse, and anger. An analysis of association key words refers to a technique in which association key words from various categories with related relationships are extracted and expressed in a map form. When “Hanjin Shipping” was used as a search word, the results of the analysis showed that the No. 1 association key word was "bankruptcy” (10,051), followed by “economics,” "Korea," "company,” and "government,” in order.