A multi-level analytic framework for disaster situational awareness using Twitter data
Abstract During a natural disaster, mining messages from social media platforms can facilitate local agencies, rescue teams, humanitarian aid organizations, etc., to track the situational awareness of the public. However, for different stakeholders, the concerns about people’s situational awareness...
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Format: | Article |
Language: | English |
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Springer
2022-08-01
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Series: | Computational Urban Science |
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Online Access: | https://doi.org/10.1007/s43762-022-00052-z |