2022
DOI: 10.2196/40323
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Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis

Abstract: Background In recent years, the COVID-19 pandemic has brought great changes to public health, society, and the economy. Social media provide a platform for people to discuss health concerns, living conditions, and policies during the epidemic, allowing policymakers to use this content to analyze the public emotions and attitudes for decision-making. Objective The aim of this study was to use deep learning–based methods to understand public emotions on t… Show more

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Cited by 21 publications
(15 citation statements)
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References 43 publications
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“…Moreover in Ref. [46], the authors analysed over 500.000 tweets related to COVID‐19 from UK cities (collected in the last 2 years from February 2020 to November 2021). Using different types of deep learning approaches (based on emotion recognition and topic modelling), it was possible to observe the difference in sentiments related to vaccination and epidemiological situation.…”
Section: Literature Review and Backgroundmentioning
confidence: 99%
“…Moreover in Ref. [46], the authors analysed over 500.000 tweets related to COVID‐19 from UK cities (collected in the last 2 years from February 2020 to November 2021). Using different types of deep learning approaches (based on emotion recognition and topic modelling), it was possible to observe the difference in sentiments related to vaccination and epidemiological situation.…”
Section: Literature Review and Backgroundmentioning
confidence: 99%
“…A similar study that focused on performing sentiment analysis of Tweets originating from multiple countries was performed by Dubey [56]. In addition to the above, several studies focused on performing sentiment analysis of Tweets about COVID-19 originating from different countries such as the United Kingdom [57][58][59][60][61][62], United States [59,60,[63][64][65][66][67], Canada [68][69][70][71][72], India [73][74][75][76][77], Australia [78][79][80], and Brazil [81][82][83].…”
Section: Recent Work That Focused On Sentiment Analysis Of Tweets Abo...mentioning
confidence: 99%
“…Twitter is also used for other mental health related topics such as a detailed study of tweets related to insomnia and its correlation with mental health was carried out by Maghsoudi. 24 Similarly, Alhuzali et al 25 carried analysis of emotions in the UK and geo-located the emotions across different cities to find the sentiment during COVID-19 pandemic. For mental health problems 26 carried analysis of twitter data to detect the magnitude of depression.…”
Section: Literature Reviewmentioning
confidence: 99%