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Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data

Title data

Braig, Niklas ; Benz, Alina ; Voth, Soeren ; Breitenbach, Johannes ; Büttner, Ricardo:
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data.
In: IEEE Access. Vol. 11 (2023) . - pp. 14778-14803.
ISSN 2169-3536
DOI: https://doi.org/10.1109/ACCESS.2023.3242234

Official URL: Volltext

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Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Behavioral science; COVID-19; deep learning; machine learning; sentiment analysis; social science; twitter
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVIII - Information Systems Management and Data Science > Chair Business Administration XVIII - Information Systems Management and Data Science - Univ.-Prof. Dr. Ricardo Büttner
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVIII - Information Systems Management and Data Science
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 23 Mar 2024 22:01
Last Modified: 25 Mar 2024 07:00
URI: https://eref.uni-bayreuth.de/id/eprint/89010