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

Author:

Czeranowska OlgaORCID,Chlasta KarolORCID,Miłkowski PiotrORCID,Grabowska IzabelaORCID,Kocoń JanORCID,Hwaszcz Krzysztof,Wieczorek JanORCID,Jastrzębowska Agata

Funder

Ministerstwo Edukacji i Nauki

Publisher

Elsevier BV

Reference109 articles.

1. Twitter sentiment analysis approaches: a survey;Adwan;Int. J. Emerg. Technol. Learn. (iJET),2020

2. COVID-19 and the 5G conspiracy theory: social network analysis of Twitter data;Ahmed;J. Med. Internet Res.,2020

3. Refugees and COVID-19: achieving a comprehensive public health response;Alemi;Bull. World Health Organ.,2020

4. Analysis of twitter data using evolutionary clustering during the COVID-19 pandemic;Arpaci;Comput. Mater. Continua,2020

5. Twitter chirps for Syrian people: sentiment analysis of tweets related to Syria Chemical Attack;Bashir;Int. J. Disaster Risk Reduct.,2021

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