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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Using natural language processing to explore mental health insights from UK tweets during the COVID-19 pandemic: infodemiology study

Lookup NU author(s): Dr Chris MarshallORCiD, Kate LanyiORCiD, Rhiannon Green, Dr Georgie WilkinsORCiD, Dr Fiona Pearson, Professor Dawn CraigORCiD

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Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Marshall C, Lanyi K, Green R, Wilkins GC, Pearson F, Craig D

Publication type: Article

Publication status: Published

Journal: JMIR Infodemiology

Year: 2022

Volume: 2

Issue: 1

Online publication date: 31/03/2022

Acceptance date: 12/01/2022

Date deposited: 04/09/2024

ISSN (electronic): 2564-1891

Publisher: JMIR Publications

URL: https://doi.org/10.2196/32449

DOI: 10.2196/32449


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Funding

Funder referenceFunder name
National Institute for Health Research (NIHR; HSRIC-2016-1009/Innovation Observatory)

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