AIDR: Artificial Intelligence for Disaster Response

被引:270
作者
Imran, Muhammad [1 ]
Castillo, Carlos [1 ]
Lucas, Ji [1 ]
Meier, Patrick [1 ]
Vieweg, Sarah [1 ]
机构
[1] Qatar Comp Res Inst, Doha, Qatar
来源
WWW'14 COMPANION: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB | 2014年
关键词
Stream processing; Crowdsourcing; Classification; Online Machine learning;
D O I
10.1145/2567948.2577034
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We present AIDR (Artificial Intelligence for Disaster Response), a platform designed to perform automatic classification of crisis-related microblog communications. AIDR enables humans and machines to work together to apply human intelligence to large-scale data at high speed. The objective of AIDR is to classify messages that people post during disasters into a set of user-defined categories of information (e.g., "needs", "damage", etc.) For this purpose, the system continuously ingests data from Twitter, processes it (i.e., using machine learning classification techniques) and leverages human-participation (through crowd-sourcing) in real-time. AIDR has been successfully tested to classify informative vs. non-informative tweets posted during the 2013 Pakistan Earthquake. Overall, we achieved a classification quality (measured using AUC) of 80%.
引用
收藏
页码:159 / 162
页数:4
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