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Detection of Football Spoilers on Twitter

机译:在Twitter上检测足球破坏者

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摘要

Sports spoilers on SNS services such as Twitter, Facebook and so on spoil viewers' enjoyment when watching recorded matches. To avoid spoilers, people sometimes stay away from SNSs. However, people often use SNSs to habitually check messages posted by their friends and build and maintain their relationships. Therefore, we need an automatic method for detecting spoilers from SNSs. In this paper, we generated a Japanese spoiler dataset on Twitter and investigated the characteristics of the spoilers to create a foothold in construction of automatic spoiler detection system. Consequently, we clarified the relationship between spoilers and the statuses of football matches. In addition, we compared three methods for detecting spoilers and show the usefulness of SVM with Status of Match method.
机译:Twitter,Facebook等SNS服务上的体育节目破坏者在观看录制的比赛时破坏了观众的娱乐享受。为了避免破坏,人们有时会远离SNS。但是,人们经常使用SNS习惯性地检查朋友发布的消息,并建立和维护他们的关系。因此,我们需要一种自动方法来检测SNS中的扰流板。在本文中,我们在Twitter上生成了一个日本扰流板数据集,并研究了扰流板的特性,从而在自动扰流板自动检测系统的构建中立足。因此,我们阐明了扰流板与足球比赛状态之间的关系。此外,我们比较了三种检测扰流板的方法,并通过“匹配状态”方法证明了SVM的有用性。

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