论文标题
Twitter上的进攻性语言检测
Offensive Language Detection on Twitter
论文作者
论文摘要
在社交媒体中发现进攻性语言是社交媒体面临的主要挑战之一。研究人员提出了许多高级方法来完成这项任务。在本报告中，我们尝试利用他们的方法中的学习，并结合我们的想法以改进它们。在对进攻推文分类方面，我们已经成功达到了74％的准确性。我们还列出了社交媒体界滥用内容检测的即将到来的挑战。
Detection of offensive language in social media is one of the key challenges for social media. Researchers have proposed many advanced methods to accomplish this task. In this report, we try to use the learnings from their approach and incorporate our ideas to improve upon them. We have successfully achieved an accuracy of 74% in classifying offensive tweets. We also list upcoming challenges in the abusive content detection in the social media world.
