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

被引:52
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
相关论文
共 19 条
  • [1] What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter
    Zafar Saeed
    Rabeeh Ayaz Abbasi
    Onaiza Maqbool
    Abida Sadaf
    Imran Razzak
    Ali Daud
    Naif Radi Aljohani
    Guandong Xu
    Journal of Grid Computing, 2019, 17 : 279 - 312
  • [2] A survey on real-time event detection from the Twitter data stream
    Hasan, Mahmud
    Orgun, Mehmet A.
    Schwitter, Rolf
    JOURNAL OF INFORMATION SCIENCE, 2018, 44 (04) : 443 - 463
  • [3] A SURVEY OF TECHNIQUES FOR EVENT DETECTION IN TWITTER
    Atefeh, Farzindar
    Khreich, Wael
    COMPUTATIONAL INTELLIGENCE, 2015, 31 (01) : 132 - 164
  • [4] Nail histology processing techniques: What is happening around the world
    Rubin, Adam I.
    JOURNAL OF CUTANEOUS PATHOLOGY, 2017, 44 (09) : 727 - 728
  • [5] Survey and Experimental Analysis of Event Detection Techniques for Twitter
    Weiler, Andreas
    Grossniklaus, Michael
    Scholl, Marc H.
    COMPUTER JOURNAL, 2017, 60 (03) : 329 - 346
  • [6] Event detection from Twitter - a survey
    Ramachandran, Dharini
    Ramasubramanian, Parvathi
    INTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS, 2018, 14 (03) : 262 - 280
  • [7] Real-time event detection from the Twitter data stream using the TwitterNews plus Framework
    Hasan, Mahmud
    Orgun, Mehmet A.
    Schwitter, Rolf
    INFORMATION PROCESSING & MANAGEMENT, 2019, 56 (03) : 1146 - 1165
  • [8] What's All That Noise: Analysis and Detection of Propaganda on Twitter
    Kellner, Ansgar
    Wressnegger, Christian
    Rieck, Konrad
    PROCEEDINGS OF THE 13TH EUROPEAN WORKSHOP ON SYSTEMS SECURITY (EUROSEC 2020), 2018, : 25 - 30
  • [9] Towards Reproducible Research of Event Detection Techniques for Twitter
    Weiler, Andreas
    Schilling, Harry
    Kircher, Lukas
    Grossniklaus, Michael
    2019 6TH SWISS CONFERENCE ON DATA SCIENCE (SDS), 2019, : 69 - 74
  • [10] An Automatic Participant Detection Framework for Event Tracking on Twitter
    Mamo, Nicholas
    Azzopardi, Joel
    Layfield, Colin
    ALGORITHMS, 2021, 14 (03)