터키 경제 불확실성에 관한 한국의 이해: 텍스트 마이닝을 통한 대안적 방법론

초록

The guiding research question of this paper is to discover whether the machine learning-based Text Mining can provide us with a better understanding of economic uncertainty in Turkey. Data covers the period of the year 2006 to 2019 and is collected by crawling news texts from Naver News Online Service. The main findings are: (1) main topics concerning economic uncertainty in Turkey are US-Turkey economies and global growth(Topic 1), export and market outloook(Topic 2), UK-Turkey relationship and President Erdogan(Topic 3), economic uncertainty in Turkey and Korean companies(Topic 4), Emerging Country risk and stock price(Topic 5), and US President and world economy(Topic 6), (2) the focal topic is Topic 5 and the topics are closely associated with each other, (3) generally Korea reveals a continuous positive sentiment for Turkish economy, while a negative sentiment was discovered in the years of 2014 and 2018.

키워드