외국인 관광객 리뷰 분석을 통한 외국인 관광객 수에 영향을 끼치는 요인 분석

In order to attract foreign tourists, it is necessary to improve the quality of tourism services. To achieve this goal, this paper aims to extract tourists’ satisfaction factors that attract foreign tourists on domestic tour spots and examine the relations between the extracted factors and the number of foreign travelers using a data-driven methodology. To do so, we collected review comments from Tripadvisor which is one of the most popular travel platforms and semantics-assisted non-negative matrix factorization is utilized to extract key satisfaction factors. Then, sentiment scores on the extracted factors are estimated using the sentiment dictionary obtained by elastic net. Unlike existing studies that usually focused on defining satisfaction factors for tourists, we investigated the effects of the factors on the number of foreign tourists using Seoul floating population data.