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Integrity report for COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2005.07503 · pith:2020:TPA63KA4KFD4MW4SN5HAV7NEFM

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Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

Findings

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Signed record

The machine-readable record for this paper lives at /pith/TPA63KA4KFD4MW4SN5HAV7NEFM/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.