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Extracting Reliable Twitter Data for Flood Risk Communication using Manual Assessment and Google Vision API from Text and Images

Preprints.org(2020)10.20944/preprints202008.0487.v1Source: DataRank Database

Extracting Reliable Twitter Data for Flood Risk Communication using Manual Assessment and Google Vision API from Text and Images is a research paper published in Preprints.org (2020). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)OA: greenTopics (20)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Bandana Kar ORCID,Francisco Alejandro Montiel Ishino ORCID,Chaoyang Zhang ORCID,Faustine Williams ORCID,Xiaohui Liu ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W3080351094

National Science Foundation

Grant: 1335187

Improving Economic Resilience of the US Gulf Coast Communities to Coastal Hazards

greenLicense: cc-by

repositoryhttps://www.preprints.org/manuscript/202008.0487/v1/download

repositoryhttps://doi.org/10.20944/preprints202008.0487.v1

https://www.mdpi.com/2220-9964/9/9/532/pdf

https://dx.doi.org/10.20944/preprints202008.0487.v1

Fields of Study

Public Relations and Crisis CommunicationDisaster Management and ResilienceSeismology and Earthquake Studies0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceReliability (semiconductor)Flood mythCloud computingInformation retrievalData scienceSocial mediaIdentification (biology)Information extractionEvent (particle physics)Data miningWorld Wide WebGeographyGeography, Planning and DevelopmentSocial Sciences

Sustainable Development Goals

SDG 13: 13. Climate action