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Sentiment Analysis of Twitter Posts on COVID-19 Cultural Dimensions: Collectivist vs. Individualist

Authors:
Daniel Dobler
Leo Donisch
Melanie Koeppel
Patricia Brockmann

Keywords: social; media; sentiment analysis; cultural; collectivist; individual; education

Abstract:
Social distancing requirements during the COVID-19 pandemic have led to an increase in the importance of social media to maintain communication channels. This paper describes an initial investigation to English Twitter posts about the COVID-19 epidemic. The goal is to determine whether differences in opinion between users from different cultural backgrounds can be discerned. As a first prototype, a classification of tweets according to collectivist and individualistic cultures is attempted. Training data is used to generate feature vectors to train a neural network. Sentiment analysis is employed to classify the posts as positive, negative or neutral. Potential consequences for education and possible adaptive measures for collectivist and individualistic cultures are suggested.

Pages: 7 to 12

Copyright: Copyright (c) IARIA, 2022

Publication date: October 16, 2022

Published in: conference

ISSN: 2326-9294

ISBN: 978-1-68558-002-5

Location: Lisbon, Portugal

Dates: from October 16, 2022 to October 20, 2022