Earticle

초록

영어

Microblogs have dramatically changed the mechanism of information propagation. It has been an inevitable issue for governments and enterprises to face the challenges that microblogs bring to public safety management. Since 2010, a lot of emergent events were firstly reported in microblogs, and this trend is even becoming more and more prominent. As microblogs have shown much influence in public safety and sentiment management, governments and enterprises have to employ effective ways to monitor and predict emergent events in microblogs; otherwise when emergent events in microblogs happen, they will be in a passive situation and even the society’s stability will be affected. Based on the properties of microblog information and its diffusion, this paper presents a survey on the events detection from microblogs, and recent advances on some key related issues are especially focused and discussed. Finally, we give a framework for events detection on microblog platforms and its key issues are discussed, which are expected to bring valuable references for the researches in microblog information extraction.

목차

Abstract
 1. Introduction
 2. Challenges of Events Detections on Microblog Platforms
 3. Events Detection from Web
  3.1 Emergent Events Detection from Web Pages
  3.2 Topic Detection and Tracking
  3.3 Event Detections from Microblogs
 4. A Framework for Events Detections from Microblogs
  4.1 Microblog Crawler and Filtering
  4.2 Modeling Evolutional Events
  4.3 Microblog Events Detection
  4.4 Microblog Events Prediction
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Jie Zhao [ School of Business, Anhui University ]
• Xueya Wang [ School of Business, Anhui University ]
• Zheng Ma [ School of Business, Anhui University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605