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Can I read Twitter Sentiment Analysis of Long COVID Syndrome on EtoBox?
Twitter Sentiment Analysis of Long COVID Syndrome by Toluwalase Awoyemi; Ujunwa Ebili; Abiola Olusanya; Kayode E Ogunniyi; Adedolapo V Adejumo is a Medicine article available to read on EtoBox.
What is Twitter Sentiment Analysis of Long COVID Syndrome about?
Background Long COVID syndrome originated as a patient phrased terminology which was initially used to describe a group of vague symptoms that persisted after recovering from COVID-19. However, it has moved from a patient lingo to a recognized pathological entity which refers to a group of symptoms that lasts weeks or months after the COVID-19 illness. The novelty of this condition, the inadequacy of research on long COVID syndrome, and its origin as a patient-coined terminology necessitated exploring the disease's sentiments and conversations by analyzing publicly available tweets. Method Tweets were extracted using the Twarc2 tool for tweets in the English language with the keywords ( long COVID syndrome, long COVID, post-COVID syndrome, post-acute sequelae of SARS-CoV-2, long-term COVID, long haulers, and chronic COVID syndrome) between March 25, 2022, and April 1, 2022. The analyses included frequency of the keywords, sentiment analysis, and topic modeling to identify and explore discussion topics over time. A natural language approach and the latent Dirichlet allocation algorithm were used to determine the most shared tweet topics, categorize clusters, and identify themes base
Who reads Twitter Sentiment Analysis of Long COVID Syndrome?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Toluwalase Awoyemi; Ujunwa Ebili; Abiola Olusanya; Kayode E Ogunniyi; Adedolapo V Adejumo
- Publisher
- Cureus, Inc.
- Published
- 2022
- Language
- EN
- Field
- Medicine (Health Sciences)