Social media streams contain large and diverse amount of information, ranging from daily-life stories to the latest global and local events and news. Twitter, especially, allows a fast spread of events happening real time, and enables individuals and organizations to stay informed of the events happening now. Event detection from social media data poses different challenges from traditional text and is a research area that has attracted much attention in recent years. In this paper, we survey a wide range of event detection methods for Twitter data stream, helping readers understand the recent development in this area. We present the datasets available to the public. Furthermore, a few research opportunities

翻译：社交媒体流中包含大量且多样化的信息，涵盖从日常生活故事到最新全球及本地事件与新闻。尤其是Twitter，能实现实时事件的快速传播，使个人和组织能够及时了解正在发生的事件。从社交媒体数据中检测事件与传统文本面临不同的挑战，近年来已成为备受关注的研究领域。本文综述了针对Twitter数据流的多种事件检测方法，帮助读者理解该领域的最新进展。我们介绍了公开可用的数据集。此外，还探讨了若干研究机遇。