In the last few years, Twitter has become a popular platform for sharing opinions, experiences, news, and views in real-time. Twitter presents an interesting opportunity for detecting events happening around the world. The content (tweets) published on Twitter are short and pose diverse challenges for detecting and interpreting event-related information. This article provides insights into ongoing research and helps in understanding recent research trends and techniques used for event detection using Twitter data. We classify techniques and methodologies according to event types, orientation of content, event detection tasks, their evaluation, and common practices. We highlight the limitations of existing techniques and accordingly propose solutions to address the shortcomings. We propose a framework called EDoT based on the research trends, common practices, and techniques used for detecting events on Twitter. EDoT can serve as a guideline for developing event detection methods, especially for researchers who are new in this area. We also describe and compare data collection techniques, the effectiveness and shortcomings of various Twitter and non-Twitter-based features, and discuss various evaluation measures and benchmarking methodologies. Finally, we discuss the trends, limitations, and future directions for detecting events on Twitter.

中文翻译：

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世界各地正在发生什么？Twitter事件检测技术的调查和框架

在过去的几年中，Twitter已成为一种流行的平台，用于实时共享观点，经验，新闻和观点。Twitter提供了一个有趣的机会来检测世界各地发生的事件。Twitter上发布的内容（推文）简短，在检测和解释与事件相关的信息方面提出了各种挑战。本文提供了对正在进行的研究的见解，并有助于了解使用Twitter数据进行事件检测的最新研究趋势和技术。我们根据事件类型，内容的方向，事件检测任务，其评估和常规做法对技术和方法进行分类。我们强调现有技术的局限性，并据此提出解决方案，以解决这些缺点。根据研究趋势，我们提出了一个名为eT的框架，在Twitter上检测事件的常用做法和技术。eT可以作为开发事件检测方法的指南，特别是对于该领域的新手。我们还将描述和比较数据收集技术，各种Twitter和非基于Twitter的功能的有效性和缺点，并讨论各种评估措施和基准测试方法。最后，我们讨论了检测Twitter事件的趋势，局限性以及未来的方向。并讨论各种评估措施和基准测试方法。最后，我们讨论了检测Twitter事件的趋势，局限性以及未来的方向。并讨论各种评估措施和基准测试方法。最后，我们讨论了检测Twitter事件的趋势，局限性以及未来的方向。