A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management-Reference-Cited by-同舟云学术

A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management

Published:2019-11-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Author:

Kabir Md. Yasin¹,Madria Sanjay¹

Affiliation:

1. Department of Computer Science, Missouri University of Science and Technology, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3347146.3359097

Reference31 articles.

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3. ArcGIS. 2019. ArcGIS for Developers. Retrieved March 7 2019 from https://developers.arcgis.com/javascript/ ArcGIS. 2019. ArcGIS for Developers. Retrieved March 7 2019 from https://developers.arcgis.com/javascript/

4. Drake Baer. 2012. As Sandy became# Sandy emergency services got social. Fast Company 9 (2012). Drake Baer. 2012. As Sandy became# Sandy emergency services got social. Fast Company 9 (2012).

5. Alexis Conneau Holger Schwenk Loïc Barrault and Yann Lecun. 2016. Very deep convolutional networks for text classification. arXiv preprint arXiv:1606.01781 (2016). Alexis Conneau Holger Schwenk Loïc Barrault and Yann Lecun. 2016. Very deep convolutional networks for text classification. arXiv preprint arXiv:1606.01781 (2016).

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