Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Journal Track. Pages 4234-4238.
Abstract
Social media platforms, such as Twitter, offer a rich source of real-time information about real-world events, particularly during mass emergencies. Sifting valuable information from social media provides useful insight into time-critical situations for emergency officers to understand the impact of hazards and act on emergency responses in a timely manner. This work focuses on analyzing Twitter messages generated during natural disasters, and shows how natural language processing and data mining techniques can be utilized to extract situation awareness information from Twitter. We present key relevant approaches that we have investigated including burst detection, tweet filtering and classification, online clustering, and geotagging.
@inproceedings{ijcai2015p602,
title = {Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract},
author = {Yin, Jie and Karimi, Sarvnaz and Lampert, Andrew and Cameron, Mark A. and Robinson, Bella and Power, Robert},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {4234--4238},
year = {2015},
month = {7},
note = {Journal Track},
url = {https://ijcai.org/proceedings/2015/602},
}
TY - CPAPER TI - Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract AU - Yin, Jie AU - Karimi, Sarvnaz AU - Lampert, Andrew AU - Cameron, Mark A. AU - Robinson, Bella AU - Power, Robert T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 4234 EP - 4238 UR - https://ijcai.org/proceedings/2015/602 ER -Copied
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