Microblog mood predicts the box office performance
Document Type
Conference Proceeding
Publication Date
12-21-2018
Abstract
Zhan Lang 2 (Wolf Warrior 2), an action movie directed and acted by Wu Jing, won a huge success in the Chinese film market in 2017. Its earned 5.6 billion yuan in the box office, become the biggest film of all time in China. The discussion of the movie on social media plays an indispensable role in influencing the box office performance. This study aims to predict movie box office performance based on affective computation on the related feeds on social media. Since the research on Chinese sentiment analysis is limited, and the accuracy of the analysis highly depends on the context, this study proposes to combine topic's hotness degree with emotion score to improve the accuracy of the prediction. Based on 16,496,675 related Sina Weibo2 feeds and Douban3 movie reviews in a restricted time zone, with the prediction algorithm proposed in the paper, the prediction result yields an R2=95.71%. Which means the success of Zhan Lang 2 is utterly predictable.
Publication Title
ACM International Conference Proceeding Series
First Page Number
129
Last Page Number
133
DOI
10.1145/3299819.3299839
Recommended Citation
Qiu, Xiaoyang and Tang, Tiffany Ya, "Microblog mood predicts the box office performance" (2018). Kean Publications. 1436.
https://digitalcommons.kean.edu/keanpublications/1436