Abstract
The study examines the keywords highlighted in Chinese newspaper reports on Korean tourism and how Chinese tourists' perception of Korean tourism is shaped through big data semantic network analysis. In order to investigate this, 1,568 reports regarding tourism in Korea were collected on three channels of Chinese media (CCTV news, People's Daily and Sina) from August 2015 to July 2018. Unnecessary words were excluded, the study was conducted by a text refining process to extract keywords using frequency ranks, and refined data were selected by calculating frequency through text mining. Selected words are constructed from matrix data and used for semantic network analysis. For analysis, the network centroid analysis of text was carried out by using text mining. According to the coverage of China's three major newspapers, the Chinese media reported that Korea had improved politically, economically, scientifically, technologically, and culturally, which played an important role in the positive image by Chinese people.
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