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The detection and location estimation of disasters using Twitter and the identification of Non-Governmental Organisations using crowdsourcing.
Christopher Loynes
Jamal Ouenniche
Johannes De Smedt
Published in:
Ann. Oper. Res. (2022)
Keyphrases
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location estimation
emergency response
man made
e government
binary features
neural network
social networks
anomaly detection
signal strength