텍스트 마이닝을 통한 관광지 수요예측 -온라인 검색 엔진을 중심으로-

초록

The purpose of this paper is to prove demand forecasting methods by utilizing online search engines. This study utilizes text mining based issues and Keyword analysis data derived from online search engines to predict the number of visitors that exist demanding forecasting. In terms of forecasting tourists, this study compared NAVER trend statistics to the statistics of a Tourism Information System. and, it was carried out by applying the most appropriate model to forecast demand time series data. Also, it compared existing tourist forecast statistic results of a Tourism Information System in order to forecast the result of statistical NAVER trends. As a result, we have found that when utilizing NAVER trends the forecast is for Andong tourists to continue to increase until 2018 year. However, forecasting results though the Tourist Information System showed that the number of tourists decreased. This study proposes practical implications based on these results.

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