Discovering long COVID symptom patterns: Association rule mining and sentiment analysis in social media tweets (Preprint)

Surani Matharaarachchi,Mike Domaratzki,Alan Katz,Saman Muthukumarana

JMIR Formative Research（2022）

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摘要

There are very active social media discussions that could support the growing understanding of COVID-19 and its long-term impact. These discussions enable a potential field of research to analyze the behavior of long COVID syndrome. Exploratory data analysis using natural language processing methods revealed the symptoms and medical conditions related to long COVID discussions on the Twitter social media platform. Using Apriori algorithm-based association rules, we determined interesting and meaningful relationships between symptoms.

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关键词

COVID-19,Twitter,association rule mining,bigram analysis,content analysis,data mining,health information,infodemiology,long COVID symptoms,natural language processing,social media analysis

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