TEDAS: a Twitter-based Event Detection and Analysis System

被引：184

作者：

Li, Rui ^{[1
]}

Lei, Kin Hou ^{[2
]}

Khadiwala, Ravi ^{[1
]}

Chang, Kevin Chen-Chuan ^{[1
]}

机构：

[1] Univ Illinois, Dept Comp Sci, Urbana, IL 60680 USA

[2] Brigham Young Univ, Dept Comp Sci, Provo, UT 84602 USA

来源：

2012 IEEE 28TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE) | 2012年

关键词：

D O I：

10.1109/ICDE.2012.125

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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 locations from tweets, and present some interesting results of our system.

引用

页码：1273 / 1276

页数：4