DocumentCode
693244
Title
Burst events detection on micro-blogging
Author
Chengixang Liu ; Ruifeng Xu ; Lin Gui
Author_Institution
Key Lab. of Network Oriented Intell. Comput., Harbin Inst. of Technol., Shenzhen, China
Volume
04
fYear
2013
fDate
14-17 July 2013
Firstpage
1921
Lastpage
1924
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
data mining; pattern clustering; social networking (online); text analysis; Sina microblogging dataset; burst event detection; burst news detection improvement; burst word mining; event demising control; event mixing problem; microblog text; originality estimation; propagation periods; window-based incremental clustering; Abstracts; Burst event detection; Event demise control; Micro-blogging; Originality estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location
Tianjin
Type
conf
DOI
10.1109/ICMLC.2013.6890909
Filename
6890909
Link To Document