As a result of ICT rapid development, usage of smart phone and social media has been quickly diffused, and thereof nation-wide interest in big data relating to tourism has been soaring. In particular, tourism scholars began to pay attention to big data analysis and its applications to the tourism industry. Big data is regarded as unbeatable resource in creating new value for every system of society. It analyzes current situations using a huge amount of information and predicts future trend based on the result. In the same context, social big data analysis could be utilized to understand tourist behaviors and to make drama location destinations popular. The purpose of this study is to investigate how long the popularity of drama location destinations lasts. The data was collected from 2009 to 2015. A total of 29,085 tex data were analyzed. The procedure went through collecting text data, extracting key words, examining the rate of change of the tourists and anatomizing their relationships. The results of this study, destination popularity of TV drama locations was maintained until three months after drama end and, since then, popularity has been lowered. Among the tourist destination attractive attribution, the patterns of destination unique attractive and accessibility and of tourist reduction changed similarly.
Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 연구방법
Ⅳ. 분석결과
Ⅴ. 결론
참고문헌
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