TAGGS: Grouping Tweets to Improve Global Geoparsing for Disaster Response-Reference-Cited by-同舟云学术

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TAGGS: Grouping Tweets to Improve Global Geoparsing for Disaster Response

Published:2017-12-26 Issue:1 Volume:2 Page:
ISSN:2509-8810
Container-title:Journal of Geovisualization and Spatial Analysis
language:en
Short-container-title:J geovis spat anal

Author:

de Bruijn Jens A.,de Moel Hans,Jongman Brenden,Wagemaker Jurjen,Aerts Jeroen C. J. H.

Funder

FP7 Environment

Stichting voor de Technische Wetenschappen

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development

Link

http://link.springer.com/article/10.1007/s41651-017-0010-6/fulltext.html

Reference36 articles.

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2. Al-Rfou R, Kulkarni V, Perozzi B, & Skiena S (2015) POLYGLOT-NER: massive multilingual named entity recognition. In proceedings of the 2015 SIAM international conference on data mining (pp. 586–594). https://doi.org/10.1137/1.9781611974010.66

3. Amitay E, Har’El N, Sivan R, & Soffer A (2004) Web-a-where. Proceedings of the 27th annual international conference on research and development in information retrieval—SIGIR ’04, 273–280. https://doi.org/10.1145/1008992.1009040

4. Carley KM, Malik M, Landwehr PM, Pfeffer J, Kowalchuck M (2016) Crowd sourcing disaster management: the complex nature of Twitter usage in Padang Indonesia. Saf Sci 90:48–61. https://doi.org/10.1016/j.ssci.2016.04.002

5. Crooks A, Croitoru A, Stefanidis A, Radzikowski J (2013) #Earthquake: Twitter as a distributed sensor system. Trans GIS 17(1):124–147. https://doi.org/10.1111/j.1467-9671.2012.01359.x

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