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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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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Covid-19: doctors’ visas are automatically extended for one year
BMJ. 2020;m1381   Crossref logo
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n-Gram based language processing using Twitter dataset to identify COVID-19 patients
Sustainable Cities and Society. 2021;72:103048   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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LANGUAGE OF CORONA-TWITTER: COVID-19 NEOLOGISMS
InterConf. 2021;158-164   Crossref logo
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ANALISIS POSTINGAN DI TWITTER MENGENAI VAKSINASI COVID-19: PERILAKU SOSIAL TERHADAP VAKSINASI COVID-19 GUNA PENCEGAHAN PENULARAN COVID-19
HUMAYA: Jurnal Hukum, Humaniora, Masyarakat, dan Budaya. 2021;1(1):30-42   Crossref logo
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A meta-analysis of Twitter assisted learning outcomes during the COVID-19 pandemic
. 2021;   Crossref logo
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