Analysis of Twitter content related to Covid-19 vaccination – BSc. Addiskidan Tegegn
BSc. Addiskidan Tegegn
Master's thesis
Analysis of Twitter content related to Covid-19 vaccination
Abstract:
This thesis examines the use of natural language processing (NLP) techniques to analyze tweets related to COVID-19 vaccination on Twitter. The study aims to identify the sentiments, topics, and opinions expressed by Twitter users regarding the COVID-19 vaccine, and to assess the impact of these expressions on public health communication efforts. Using a dataset of over one million tweets related to …more
Language used: English
Date on which the thesis was submitted / produced: 3. 4. 2023
Thesis defence
- Date of defence: 23. 5. 2023
- Supervisor: Ing. Miloš Ulman, Ph.D.
- Reader: Dino Sodamin, externi
Citation record
ISO 690-compliant citation record:
TEGEGN, Addiskidan. \textit{Analysis of Twitter content related to Covid-19 vaccination}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Economics and Management. 2023. Available from: https://theses.cz/id/ok8l9w/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Provozně ekonomická fakultaCzech University of Life Sciences Prague
Faculty of Economics and ManagementMaster programme:
Informatics
Theses on a related topic
-
Analysis of Twitter Content Related to Covid-19 Vaccination Using NLP
Pamela Vogli -
Measuring Twitter Trends Using Sentimental Analysis Related to Covid-19
Wanl Alfathi -
Relationship of COVID-19 Twitter hashtags with the number of cases
Solomon Erkineh -
Analysis of Twitter Content Related to Covid-19 Vaccination Using NLP
Pamela Vogli -
Measuring Twitter Trends Using Sentimental Analysis Related to Covid-19
Wanl Alfathi
Name
Posted by
Uploaded/Created
Rights