论文标题
使用社交媒体数据分析的事件检测教程：应用程序，挑战和开放问题
A Tutorial on Event Detection using Social Media Data Analysis: Applications, Challenges, and Open Problems
论文作者
论文摘要
近年来，社交媒体已成为交流最受欢迎的平台之一。这些平台允许用户报告可能在整个社交网络中迅速而广泛流通的现实事件。社交活动是社交媒体上记录的现实世界事件。社交聚会可能包含有关危机情景的重要文件。监视和分析这些丰富的内容可以产生非常有价值的信息，并帮助人们和组织学习如何采取行动。在本文中，将对通过社交媒体数据分析进行有关事件检测的潜在利益和应用的调查。此外，通过监视社交媒体流，将有条理地研究事件检测中的关键挑战和基本权衡。然后，将引入基本的开放问题和可能的研究方向。
In recent years, social media has become one of the most popular platforms for communication. These platforms allow users to report real-world incidents that might swiftly and widely circulate throughout the whole social network. A social event is a real-world incident that is documented on social media. Social gatherings could contain vital documentation of crisis scenarios. Monitoring and analyzing this rich content can produce information that is extraordinarily valuable and help people and organizations learn how to take action. In this paper, a survey on the potential benefits and applications of event detection with social media data analysis will be presented. Moreover, the critical challenges and the fundamental tradeoffs in event detection will be methodically investigated by monitoring social media stream. Then, fundamental open questions and possible research directions will be introduced.
