This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2484) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1527) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1764) Infodemiology and Infoveillance (1436) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1082)

Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40323, first published .
Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis

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

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

Authors of this article:

Hassan Alhuzali1 Author Orcid Image ;   Tianlin Zhang2 Author Orcid Image ;   Sophia Ananiadou2, 3 Author Orcid Image
Article Authors Cited by (19) Tweetations (14) Metrics
All Time | Last Month | Last Six Months | Last Year
Mary Heston Mary Heston @maryheston

A comparative geolocation and text mining analysis of emotions and topics during the COVID-19 Pandemic in the UK https://t.co/PNWm9amPP6

7:14 AM · Oct 03, 2022

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Emotions and Topics Expressed on #Twitter During the #COVID19 #coronavirus Pandemic in the United King… https://t.co/wobnMEbggm

4:08 PM · Oct 05, 2022

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2
Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Emotions and Topics Expressed on #Twitter During the #COVID19 #coronavirus Pandemic in the United Kingdom: Compar…

4:08 PM · Oct 05, 2022

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Tianlin Zhang Tianlin Zhang @TianlinZhang6

RT @jmirpub: New in JMIR: Emotions and Topics Expressed on #Twitter During the #COVID19 #coronavirus Pandemic in the United Kingdom: Compar…

4:45 PM · Oct 05, 2022

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2
Tom Bellis Tom Bellis @tommybellis

Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocatio… https://t.co/VnVznuymVf

5:34 PM · Oct 05, 2022

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Hasan Alhuzali Hasan Alhuzali @h_alhuzali

????Thrilled to share that our analysis paper of the pandemic got accepted in JMIR, a joint work with @TianlinZhang6 a… https://t.co/YXp3bShxh0

6:29 PM · Oct 05, 2022

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Mark Dimor Mark Dimor @MarksPhone

JMIR- Emotions &Topics Expressed on Twitter During the COVID-19 Pandemic in the UK: Comparative Geolocation &Text M… https://t.co/xw23PHygI3

11:24 AM · Oct 06, 2022

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Mary Mary @bcastbloggers

Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocatio… https://t.co/uIGRsGsFsx

8:50 PM · Oct 11, 2022

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wafa tayari wafa tayari @wafatayari4

RT @bcastbloggers: Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and…

8:50 PM · Oct 11, 2022

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Patient Information Forum (PIF) Patient Information Forum (PIF) @PiFonline

Analysis of more than 500,000 Tweets from 48 UK cities found meaningful differences in public emotions and topics d… https://t.co/cUYymQfc0t

10:13 AM · Oct 25, 2022

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JMIR Publications JMIR Publications @jmirpub

RT @PiFonline: Analysis of more than 500,000 Tweets from 48 UK cities found meaningful differences in public emotions and topics during COV…

11:28 AM · Oct 25, 2022

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Fran London Fran London @notimetoteach

Individualization of #HealthEducation can be applied in #PublicHealth messaging, too. “our study shows that analyzi… https://t.co/a6jeWB5pn0

12:41 PM · Oct 25, 2022

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DaPBE DaPBE @ApBE_

Emociones y temas expresados ​​en Twitter durante la pandemia de #COVID19 en el Reino Unido: geolocalización comparativa y análisis de minería de texto https://t.co/P8AKrEAcvY

9:00 AM · Dec 04, 2022

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CLUB FM Philadelphia???? CLUB FM Philadelphia???? @clubfmphilly

“Over 500,000 tweets related to COVID-19 from 48 different cities in the United Kingdom were extracted” https://t.co/b10gP9yDyS https://t.co/E53TnU3ozm

4:41 PM · Jan 20, 2024

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CLUB FM Philadelphia???? CLUB FM Philadelphia???? @clubfmphilly

“To develop our corpus, we used the Twitter application programming interface by collecting data via the use of several bounding boxes over multiple cities in the United Kingdom.” https://t.co/b10gP9yDyS https://t.co/DxrfPeRUyr

4:43 PM · Jan 20, 2024

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