The Academy Awards are one of the most prestigious events in the global movie industry, and thus, the Oscar winner has been one of the most remarkable and hottest topics in society. Due to this, many media companies attempt to predict which nominated film will win the Oscar award (Academy Award for Best Picture). Moreover, public perceptions of each film are among the most important indicators of the Oscar award. In light of this, the present study examines user-created posts about nominated films on a topic-oriented social network service. After sentimental differences in the posts about the Oscar winners and other nominated films are examined, the concept of the adjusted Oscar winner score is proposed, explored, and tested. The results indicate notable sentimental differences, while the score is well computed and effective for computing the 2020 Oscar winner. Based on the results, the implications and key limitations are discussed.

奥斯卡金像奖是全球电影业最负盛名的盛事之一，因此，奥斯卡奖得主一直是社会上最引人注目、最热门的话题之一。正因如此，许多媒体公司试图预测哪部提名影片将获得奥斯卡奖（奥斯卡最佳影片奖）。此外，公众对每部电影的看法也是奥斯卡奖最重要的指标之一。鉴于此，本研究在面向主题的社交网络服务上检查用户创建的有关提名电影的帖子。在考察了有关奥斯卡奖得主和其他提名电影的帖子中的情感差异后，调整后的奥斯卡奖得主得分的概念被提出、探索和测试。结果表明存在显着的情感差异，而该分数计算得很好，并且可以有效地计算 2020 年奥斯卡奖得主。根据结果​​，讨论了影响和关键限制。