Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

The Approach of Micro-blog Explosive Events Detection and Analysis in Real-time

Authors
Ying-Ying She, Qian Wang, Xiao-Yu Zhang, Wen-Yong Zheng, Yao Fu, Qing-Qiang Wu
Corresponding Author
Ying-Ying She
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.30How to use a DOI?
Keywords
component;social media analysis;micro-blog event detection; micro-blog explosion evaluation
Abstract
Social network is an important platform for gathering social focus information. Explosive events from micro-blog can be used in the analysis and decision making in government monitoring, social phenomena research and other aspects. In this paper, we proposed an approach to detect and analysis explosive events from micro-blog in real-time. Our approach greatly improves the efficiency of explosive event tracking and analysis. It provides complete solution for social media event discovery. The experimental results show that the detection, tracking and analysis algorithms in the whole Micro-blog event detection process can efficiently improve the result of social media analysis in real-time.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/ceis-16.2016.30How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ying-Ying She
AU  - Qian Wang
AU  - Xiao-Yu Zhang
AU  - Wen-Yong Zheng
AU  - Yao Fu
AU  - Qing-Qiang Wu
PY  - 2016/11
DA  - 2016/11
TI  - The Approach of Micro-blog Explosive Events Detection and Analysis in Real-time
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.30
DO  - https://doi.org/10.2991/ceis-16.2016.30
ID  - She2016/11
ER  -