Development of a national-scale real-time Twitter data mining pipeline for social geodata on the potential impacts of flooding on communities

Author:

Barker J.L.P.,Macleod C.J.A.

Funder

Data Lab, Edinburgh

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference49 articles.

1. Homing in on Twitter users: evaluating an enhanced geoparser for user profile locations;Alex,2016

2. A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management;de Albuquerque;Int. J. Geogr. Inf. Sci.,2015

3. Social sensing of floods in the UK;Arthur;PloS One,2018

4. Geographical prioritization of social network messages in near real-time using sensor data streams: an application to floods;de Assis;Rev. Bras. Cartogr.,2016

5. Identifying informative messages in disaster events using convolutional neural networks;Caragea,2016

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