A large-scale sentiment analysis of tweets pertaining to the 2020 US presidential election

We capture the public sentiment towards candidates in the 2020 US Presidential Elections, by analyzing 7.6 million tweets sent out between October 31st and November 9th, 2020. We apply a novel approach to first identify tweets and user accounts in our database that were later deleted or suspended fr...

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Detalles Bibliográficos
Autores principales: Ali, Rao Hamza, Pinto, Gabriela, Lawrie, Evelyn, Linstead, Erik J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202966/
https://www.ncbi.nlm.nih.gov/pubmed/35729897
http://dx.doi.org/10.1186/s40537-022-00633-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202966/
https://www.ncbi.nlm.nih.gov/pubmed/35729897
http://dx.doi.org/10.1186/s40537-022-00633-z

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