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An Interactive Analysis of User-reported Long COVID Symptoms using Twitter Data
Lin Miao
|
Mark Last
|
Marina Litvak
|
Paper Details:
Month: May
Year: 2022
Location: (Hybrid) Dublin, Ireland, and Virtual
Venue:
ACL |
WIT |
Citations
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https://www.cdc.gov/coronavirus/2019-ncov/long-term-
https://www.who.int/publications/i/item/WHO-2019-
https://www.nice.org.uk/news/article/nice-rcgp-and-
https://longcovid-dashboard.herokuapp.com/
https://github.com/Lin1202/Longcoivd/blob/main/
https://spacy.io/
https://scikit-learn.org/stable/modules/generated/sklearn
https://keras.io/
https://en.wikipedia.org/wiki/Long_COVID
https://discuss.huggingface.co/t/new-pipeline-for-zero-
https://cims.nyu.edu/
https://pypi.org/project/geopy/
https://www.statista.com/statistics/828092/distribution-
https://www.statista.com/statistics/283119/age-
https://www.statista.com/statistics/242606/number-of-
Field Of Study