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

作者：Quanzhi Li, Yang Chao, Dong Li, Yao Lu, Chi Zhang · 发表于：2022 IEEE International Conference on Big Data (Big Data) · 年份：2022 · DOI：10.1109/bigdata55660.2022.10020411 · 被引用次数：14 · 研究领域：Complex Network Analysis Techniques、Spam and Phishing Detection、Network Security and Intrusion Detection

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 are discussed as potential future research directions.