Institute of Information Technology, Jahangirnagar University, Savar 1342, Bangladesh.
School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Korea.
Sensors (Basel). 2022 Jun 15;22(12):4531. doi: 10.3390/s22124531.
Social media platforms have many users who share their thoughts and use these platforms to organize various events collectively. However, different upsetting incidents have occurred in recent years by taking advantage of social media, raising significant concerns. Therefore, considerable research has been carried out to detect any disturbing event and take appropriate measures. This review paper presents a thorough survey to acquire in-depth knowledge about the current research in this field and provide a guideline for future research. We systematically review 67 articles on event detection by sensing social media data from the last decade. We summarize their event detection techniques, tools, technologies, datasets, performance metrics, etc. The reviewed papers mainly address the detection of events, such as natural disasters, traffic, sports, real-time events, and some others. As these detected events can quickly provide an overview of the overall condition of the society, they can significantly help in scrutinizing events disrupting social security. We found that compatibility with different languages, spelling, and dialects is one of the vital challenges the event detection algorithms face. On the other hand, the event detection algorithms need to be robust to process different media, such as texts, images, videos, and locations. We outline that the event detection techniques compatible with heterogeneous data, language, and the platform are still missing. Moreover, the event and its location with a 24 × 7 real-time detection system will bolster the overall event detection performance.
社交媒体平台拥有众多用户，他们分享自己的想法，并利用这些平台集体组织各种活动。然而，近年来，利用社交媒体发生了多起令人不安的事件，引起了极大的关注。因此，已经进行了大量的研究来检测任何干扰事件并采取适当的措施。
本篇综述论文进行了全面的调查，以深入了解该领域当前的研究，并为未来的研究提供指导。我们系统地回顾了过去十年中通过感知社交媒体数据进行事件检测的 67 篇文章。我们总结了它们的事件检测技术、工具、技术、数据集、性能指标等。
回顾的论文主要解决了事件检测问题，例如自然灾害、交通、体育、实时事件等。由于这些检测到的事件可以快速提供社会整体状况的概述，因此它们可以极大地帮助仔细审查扰乱社会安全的事件。我们发现，不同语言、拼写和方言的兼容性是事件检测算法面临的重要挑战之一。另一方面，事件检测算法需要能够处理不同的媒体，如文本、图像、视频和位置。
我们总结出，仍然缺乏与异构数据、语言和平台兼容的事件检测技术。此外，具有 24×7 实时检测系统的事件及其位置将提高整体事件检测性能。
