Ji Su Hwang, Chang Liu, Guozhong Li, Seong Taek Park, Vol. 4, No. 3, pp. 20-24, Sep. 2020
10.22662/IJEMR.2020.4.3.020, Full Text:
Keywords: Festival, Big data, Data Analysis, solution, tourism festival

Abstract

Background/Objectives: Accordingly, this study proposes the successful model of the culture tourism festival and suggest the direction to go in the future. For this, the author analyzed the culture tourism festival that is held in each region, and intends to determine focused on the festival, which showed low satisfaction, why the relevant culture tourism festival did so. Methods/Statistical analysis: In addition, the author checks the current status of the culture tourism festival and analyzes the participant's satisfaction by using the big data analysis tool, R, and also uses the visualization function related to this. Findings: The model formula of the successful culture tourism festival was planned and analyzed by using R based on the report data issued by the Ministry of Culture, Sports, and Tourism. SNS data such as the problem of the regional festival that visitors who actually participated in the festival pointed out were collected (crawling) to suggest the measure for the culture tourism festival to be improved from the viewpoint of visitors. Improvements/Applications: This study tried to suggest the orientation of the culture tourism festival through analyzing the report issued by the Ministry of Culture, Sports, and Tourism and collecting the SNS data.

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