텍스트 마이닝을 활용한 아프리카 사파리 관광지 인식 분석 - 영문 온라인 리뷰를 중심으로 -

초록

This study used text mining, emotional analysis, and topic modeling techniques to analyze the perception and review of African safari tourist destinations using overseas online reviews. 12,032 cases of unstructured data were collected through web crawling from safaribooking, a site that specializes in safaris tourism. Then, an analysis was conducted using text mining, emotional analysis, and topic modeling techniques. As a result of the analysis, many tourists visiting safari tourism repeatedly mentioned words such as guide and experience, and most of the reviews showed positive patterns. Topics were classified into four categories, and based on the written reviews, they were named as safari tourist destinations, tour service awareness, service dissatisfaction, and Tanzania tourist destinations. Based on the research results, it has academic significance such as basic research data on wild life, and has practical implications such as standardized tourism products and service provision.

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