Event Detection from Social Media Stream: Methods, Datasets and Opportunities

TL;DR

This paper surveys various methods for detecting events from social media streams, especially Twitter, discusses available datasets, and highlights future research opportunities in this rapidly evolving field.

Contribution

It provides a comprehensive overview of recent event detection techniques, publicly available datasets, and identifies key research opportunities in social media event detection.

Findings

Various event detection methods have been developed for Twitter data.

Multiple datasets are publicly available for research in this area.

There are significant opportunities for future research in social media event detection.

Abstract

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