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논문검색

Towards Events Detection from Microblog Messages

원문정보

Jie Zhao, Xueya Wang, Zheng Ma

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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

  • microblog
  • event detection
  • survey

저자정보

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

참고문헌

자료제공 : 네이버학술정보

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