Measuring Twitter Trends Using Sentimental Analysis Related to Covid-19 – Wanl Alfathi
Wanl Alfathi
Bachelor's thesis
Measuring Twitter Trends Using Sentimental Analysis Related to Covid-19
Abstract:
News outlets frequently utilize Twitter as a forum to share their thoughts and show their emotions on various occasions. Sentiment analysis is a technique used to examine data and determine whether its sentiment is real or false to reach a wider audience. Python coding language is most commonly to be used in A.I. We will use a program called FakeNewsClassifier provided by the Huggingface platform, …more
Language used: English
Date on which the thesis was submitted / produced: 19. 3. 2023
Thesis defence
- Date of defence: 15. 5. 2023
- Supervisor: John Phillip Sabou, Ph.D.
- Reader: Jan Pavlík, Ph.D.
Citation record
ISO 690-compliant citation record:
ALFATHI, Wanl. \textit{Measuring Twitter Trends Using Sentimental Analysis Related to Covid-19}. Online. Bachelor's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Economics and Management. 2023. Available from: https://theses.cz/id/6wy7gw/.
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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 ManagementBachelor programme:
Informatics
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