Burst events detection on micro-blogging

Chengixang Liu; Ruifeng Xu; Lin Gui

doi:10.1109/ICMLC.2013.6890909

Burst events detection on micro-blogging

Chengixang Liu^*
, Ruifeng Xu
, Lin Gui

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

This paper presents a system to detect burst news on micro-blogging through mining burst words by incorporating features from micro-blog text, propagation periods and other characteristics. To avoid the event mixing problem, this system adopts originality estimation and event demising control to improve the burst news detection based on window-based incremental clustering. The experiments on Sina micro-blogging dataset achieve encouraging performance.

Original language	English
Title of host publication	Proceedings - International Conference on Machine Learning and Cybernetics
Publisher	IEEE Computer Society
Pages	1921-1924
Number of pages	4
ISBN (Electronic)	9781479902576
DOIs	https://doi.org/10.1109/ICMLC.2013.6890909
State	Published - 2013
Externally published	Yes
Event	12th International Conference on Machine Learning and Cybernetics, ICMLC 2013 - Tianjin, China Duration: 14 Jul 2013 → 17 Jul 2013

Publication series

Name	Proceedings - International Conference on Machine Learning and Cybernetics
Volume	4
ISSN (Print)	2160-133X
ISSN (Electronic)	2160-1348

Conference

Conference	12th International Conference on Machine Learning and Cybernetics, ICMLC 2013
Country/Territory	China
City	Tianjin
Period	14/07/13 → 17/07/13

Keywords

Burst event detection
Event demise control
Micro-blogging
Originality estimation

Access to Document

10.1109/ICMLC.2013.6890909

Cite this

@inproceedings{9c12179475f048bf849f97b0c2db6dc0,

title = "Burst events detection on micro-blogging",

abstract = "This paper presents a system to detect burst news on micro-blogging through mining burst words by incorporating features from micro-blog text, propagation periods and other characteristics. To avoid the event mixing problem, this system adopts originality estimation and event demising control to improve the burst news detection based on window-based incremental clustering. The experiments on Sina micro-blogging dataset achieve encouraging performance.",

keywords = "Burst event detection, Event demise control, Micro-blogging, Originality estimation",

author = "Chengixang Liu and Ruifeng Xu and Lin Gui",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.; 12th International Conference on Machine Learning and Cybernetics, ICMLC 2013 ; Conference date: 14-07-2013 Through 17-07-2013",

year = "2013",

doi = "10.1109/ICMLC.2013.6890909",

language = "英语",

series = "Proceedings - International Conference on Machine Learning and Cybernetics",

publisher = "IEEE Computer Society",

pages = "1921--1924",

booktitle = "Proceedings - International Conference on Machine Learning and Cybernetics",

address = "美国",

}

Liu, C, Xu, R & Gui, L 2013, Burst events detection on micro-blogging. in Proceedings - International Conference on Machine Learning and Cybernetics., 6890909, Proceedings - International Conference on Machine Learning and Cybernetics, vol. 4, IEEE Computer Society, pp. 1921-1924, 12th International Conference on Machine Learning and Cybernetics, ICMLC 2013, Tianjin, China, 14/07/13. https://doi.org/10.1109/ICMLC.2013.6890909

Burst events detection on micro-blogging. / Liu, Chengixang; Xu, Ruifeng; Gui, Lin.
Proceedings - International Conference on Machine Learning and Cybernetics. IEEE Computer Society, 2013. p. 1921-1924 6890909 (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Burst events detection on micro-blogging

AU - Liu, Chengixang

AU - Xu, Ruifeng

AU - Gui, Lin

PY - 2013

Y1 - 2013

N2 - This paper presents a system to detect burst news on micro-blogging through mining burst words by incorporating features from micro-blog text, propagation periods and other characteristics. To avoid the event mixing problem, this system adopts originality estimation and event demising control to improve the burst news detection based on window-based incremental clustering. The experiments on Sina micro-blogging dataset achieve encouraging performance.

AB - This paper presents a system to detect burst news on micro-blogging through mining burst words by incorporating features from micro-blog text, propagation periods and other characteristics. To avoid the event mixing problem, this system adopts originality estimation and event demising control to improve the burst news detection based on window-based incremental clustering. The experiments on Sina micro-blogging dataset achieve encouraging performance.

KW - Burst event detection

KW - Event demise control

KW - Micro-blogging

KW - Originality estimation

UR - https://www.scopus.com/pages/publications/84907279013

U2 - 10.1109/ICMLC.2013.6890909

DO - 10.1109/ICMLC.2013.6890909

M3 - 会议稿件

AN - SCOPUS:84907279013

T3 - Proceedings - International Conference on Machine Learning and Cybernetics

SP - 1921

EP - 1924

BT - Proceedings - International Conference on Machine Learning and Cybernetics

PB - IEEE Computer Society

T2 - 12th International Conference on Machine Learning and Cybernetics, ICMLC 2013

Y2 - 14 July 2013 through 17 July 2013

ER -

Burst events detection on micro-blogging

Abstract

Publication series

Conference

Keywords

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