Title :
TEDAS: A Twitter-based Event Detection and Analysis System
Author :
Li, Rui ; Lei, Kin Hou ; Khadiwala, Ravi ; Chang, Kevin Chen-Chuan
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;
Conference_Titel :
Data Engineering (ICDE), 2012 IEEE 28th International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4673-0042-1
DOI :
10.1109/ICDE.2012.125