微博情绪预测票房

Xiaoyang Qiu, T. Tang
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引用次数: 1

摘要

2017年,吴京自导自演的动作片《战狼2》在中国电影市场取得了巨大成功。它获得了56亿元的票房收入,成为中国有史以来票房最高的电影。在社交媒体上对电影的讨论对票房的影响是不可或缺的。本研究旨在基于社交媒体上相关feed的情感计算来预测电影票房表现。由于中文情感分析的研究有限,分析的准确性高度依赖于语境,本研究提出将话题的火热程度与情感得分相结合,以提高预测的准确性。基于限定时区内的16496675条相关新浪微博推送和豆瓣影评,采用本文提出的预测算法,预测结果R2=95.71%。这意味着“战浪2号”的成功是完全可以预测的。
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Microblog Mood Predicts the Box Office Performance
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 Weibo feeds and Douban 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.
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