Event Detection from Social Media Stream: Methods, Datasets and Opportunities
It provides a comprehensive overview for researchers and practitioners working on real-time event detection from social media, but it is incremental as a survey paper.
The paper surveys event detection methods for Twitter data streams, presenting available public datasets and identifying research opportunities in the field.
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