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| A biomedically oriented automatically annotated Twitter COVID-19 dataset |
| Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda |
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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  An Augmented Multilingual Twitter Dataset for Studying the COVID-19 Infodemic . 2020; A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave . 2022; A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave . 2022; Arabic Twitter Conversation Dataset about the COVID-19 Vaccine Data. 2022;7(11):152 Building a Twitter opinion lexicon from automatically-annotated tweets Knowledge-Based Systems. 2016;108:65-78 Active Learning Strategy for COVID-19 Annotated Dataset IEEE Access. 2021;9:161638-161648 Learning Visual Voice Activity Detection with an Automatically Annotated Dataset 2020 25th International Conference on Pattern Recognition (ICPR). 2021; Dataset of discourses about COVID-19 and financial markets from Twitter Data in Brief. 2022;43:108428 A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave Data. 2022;7(8):109 |
