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NHS Covid-19 App Twitter Data - NLP Analysis

Publication Date
June 3, 2024
Creators
Description
Topic modelling, sentiment analysis and emotion detection results from the analysis of tweets relating to the NHS Covid-19 contact-tracing app. Coverage (Temporal): 22-09-2020 to 31-07-2021 Collection dates: 22-09-2020 to 31-07-2021
External URI
DOI
Subjects (LCSH)

Decision making – Dat...

Contact tracing (Epid...

COVID-19 (Disease)

Subjects

NHS, Covid-19, contac...

Subjects (JACS)

Computer Sciences::Co...

Subjects (LC)

Q Science::QA Mathema...

Divisions
University of Nottingham, UK Campus::Faculty of Science::School of Computer Science
Data type
NLP analysis results
Funders
Grant Number
EP/V00784X/1
EP/S023305/1
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
English
Publisher
The University of Nottingham
Date Issued
June 3, 2024
Except where otherwise noted, this item's license is described as
File(s)
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Emotion Detection & VADER cleaned data NHS.csv

Description
Emotion detection and VADER sentiment analysis
Size

8.23 MB

Format

Comma Separated Variable (CSV)

Checksum (MD5)

7b867856255b945a7675b1d9c688eab5

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Name

Sentiment Analysis TextBlob cleaned data NHS.zip

Size

633.02 KB

Format

Unknown

Checksum (MD5)

aea16c6aa9a7803552abf5f6c080818a