NHS Covid-19 App Twitter Data - NLP Analysis

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Publication date
2024-06-03
Creators
Heaton, Dan
Fischer, Joel E.
Clos, Jeremie
Nichele, Elena
Metadata
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Description
Topic modelling, sentiment analysis and emotion detection results from the analysis of tweets relating to the NHS Covid-19 contact-tracing app.
External URI
DOI
Subjects
  • Decision making – Data processing
  • Contact tracing (Epidemiology) – Data processing
  • COVID-19 (Disease)
  • NHS, Covid-19, contact-tracing, nlp, sentiment, topic, emotion, decision-making algorithm
  • Computer Sciences::Computer science::Human-computer interaction
  • Q Science::QA Mathematics::QA 75 Electronic computers. Computer science
Divisions
  • University of Nottingham, UK Campus::Faculty of Science::School of Computer Science
Research institutes and centres
  • University of Nottingham, UK Campus::Horizon Digital Economy Hub
Deposit date
2024-06-03
Data type
NLP analysis results
Contributors
  • Heaton, Dan
  • Fischer, Joel
  • Clos, Jeremie
  • Nichele, Elena
Funders
  • Engineering & Physical Sciences Research Council
Grant number
  • EP/V00784X/1
  • EP/S023305/1
Collection dates
  • 22-09-2020 to 31-07-2021
Coverage
  • 22-09-2020 to 31-07-2021
Data collection method
Downloaded using Tweepy app and Twitter Academic API.
Legal and ethical issues
Full tweets have not been included and, instead, tweet IDs are displayed.
Resource languages
  • en
Publisher
The University of Nottingham
CC-BY
Except where otherwise noted, this item's license is described as Creative Commons by Attribution