Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma-Reference-Cited by-同舟云学术

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Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma

Published:2020-12-17 Issue: Volume: Page:8-32
ISSN:
Container-title:Social Sensing and Big Data Computing for Disaster Management
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Author:

Sit Muhammed Ali,Koylu Caglar,Demir Ibrahim

Publisher

Routledge

Reference1 articles.

1. Acar, A. , and Y. Muraki . 2011. “Twitter for Crisis Communication: Lessons Learned from Japan’s Tsunami Disaster.” International Journal of Web Based Communities 7 (3): 392–402. doi: 10.1504/IJWBC.2011.041206

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