DocumentCode
2458676
Title
TEDAS: A Twitter-based Event Detection and Analysis System
Author
Li, Rui ; Lei, Kin Hou ; Khadiwala, Ravi ; Chang, Kevin Chen-Chuan
fYear
2012
fDate
1-5 April 2012
Firstpage
1273
Lastpage
1276
Abstract
Witnessing the emergence of Twitter, we propose a Twitter-based Event Detection and Analysis System (TEDAS), which helps to (1) detect new events, to (2) analyze the spatial and temporal pattern of an event, and to (3) identify importance of events. In this demonstration, we show the overall system architecture, explain in detail the implementation of the components that crawl, classify, and rank tweets and extract location from tweets, and present some interesting results of our system.
Keywords
social networking (online); TEDAS; Twitter-based event detection and analysis system; event spatial pattern; event temporal pattern; overall system architecture; Conferences; Data engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering (ICDE), 2012 IEEE 28th International Conference on
Conference_Location
Washington, DC
ISSN
1063-6382
Print_ISBN
978-1-4673-0042-1
Type
conf
DOI
10.1109/ICDE.2012.125
Filename
6228186
Link To Document