What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter

被引:48
|
作者
Saeed, Zafar [1 ,2 ]
Abbasi, Rabeeh Ayaz [1 ]
Maqbool, Onaiza [1 ]
Sadaf, Abida [5 ]
Razzak, Imran [2 ]
Daud, Ali [3 ]
Aljohani, Naif Radi [4 ]
Xu, Guandong [2 ]
机构
[1] Quaid I Azam Univ, Dept Comp Sci, Islamabad, Pakistan
[2] Univ Technol Sydney, Sydney, NSW, Australia
[3] Int Islamic Univ, Islamabad, Pakistan
[4] King Abdulaziz Univ, Dept Informat Syst, Jeddah, Saudi Arabia
[5] Quaid I Azam Univ, Inst Informat Technol, Islamabad, Pakistan
关键词
Events; Event detection; Twitter; Social media; Machine learning; Survey; Taxonomy; Framework; SOCIAL MEDIA; DISCOVERY; TOPICS;
D O I
10.1007/s10723-019-09482-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:279 / 312
页数:34
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