CrossRef Text and Data Mining
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A biomedically oriented automatically annotated Twitter COVID-19 dataset
Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda
Genomics Inform. 2021;19(3):e21  Published online September 30, 2021
DOI: https://doi.org/10.5808/gi.21011

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A biomedically oriented automatically annotated Twitter COVID-19 dataset
Genomics & Informatics. 2021;19(3):e21   Crossref logo
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An Augmented Multilingual Twitter Dataset for Studying the COVID-19 Infodemic
. 2020;   Crossref logo
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Building a Twitter opinion lexicon from automatically-annotated tweets
Knowledge-Based Systems. 2016;108:65-78   Crossref logo
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Active Learning Strategy for COVID-19 Annotated Dataset
IEEE Access. 2021;9:161638-161648   Crossref logo
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Work from home during the COVID-19 pandemic: An observational study based on a large geo-tagged COVID-19 Twitter dataset (UsaGeoCov19)
Information Processing & Management. 2022;59(2):102820   Crossref logo
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A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period
Data. 2021;6(6):64   Crossref logo
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An augmented multilingual Twitter dataset for studying the COVID-19 infodemic
Social Network Analysis and Mining. 2021;11(1):   Crossref logo
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ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection
Public Health. 2022;203:23-30   Crossref logo
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Covid-19: doctors’ visas are automatically extended for one year
BMJ. 2020;m1381   Crossref logo
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COVID-19-FAKES: A Twitter (Arabic/English) Dataset for Detecting Misleading Information on COVID-19
Advances in Intelligent Systems and Computing. 2020;256-268   Crossref logo
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