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Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks
[article]
2016
arXiv
pre-print
The role of social media, in particular microblogging platforms such as Twitter, as a conduit for actionable and tactical information during disasters is increasingly acknowledged. However, time-critical analysis of big crisis data on social media streams brings challenges to machine learning techniques, especially the ones that use supervised learning. The Scarcity of labeled data, particularly in the early hours of a crisis, delays the machine learning process. The current state-of-the-art
arXiv:1608.03902v1
fatcat:632knvdypnf5za6xi26kiavfnm