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Activation Strategies of the 20th BIFF using Social Big Data Text Mining Analysis

Han, Jin-Seong 1 Yoon Ji-Hwan 1

1경희대학교

Accredited

ABSTRACT

In this study, we tried to understand the people’s interests and feelings toward the film festival by utilizing social Big Data text mining that have the limelight as a new analytical technique. For this, we collected and compared data for one month before and after the day of BIFF on Oct 1st, 2015 and used comparative analysis. As a result, we found that people’s interests rapidly increased after BIFF has started. In the same way, people’s main concerns were related to the information on its contents and events before BIFF, but after it expands to diverse social issues related to the festival. In addition, though people’s emotions were considerably neutral or positive before the BIFF, they changed to mixed feelings after the festival started and their attention became too hard on the related social issues. For the result, we gave insights to both an effective operation and management scheme for next BIFF and analyzed tourism issues using the big data analysis.

Citation status

* References for papers published after 2022 are currently being built.