Migrants vs. stayers in the pandemic – A sentiment analysis of Twitter content

Migrants vs. stayers in the pandemic – A sentiment analysis of Twitter content

In this paper, we propose a sentiment analysis of Twitter data focused on the attitudes and sentiments of Polish migrants and stayers during the pandemic. We collected 9 million tweets and retweets between January and August 2021, and analysed them using MultiEmo, the multilingual, multilevel, multi...

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Bibliographic Details
Main Authors: Olga Czeranowska, Karol Chlasta, Piotr Miłkowski, Izabela Grabowska, Jan Kocoń, Krzysztof Hwaszcz, Jan Wieczorek, Agata Jastrzębowska
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Telematics and Informatics Reports
Subjects:
Sentiment analysis
Text mining
Text analytics
Social media
Twitter
Migrants
Online Access:http://www.sciencedirect.com/science/article/pii/S2772503023000191

Internet

http://www.sciencedirect.com/science/article/pii/S2772503023000191

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