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

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

Abstract 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 sus...

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Bibliographic Details
Main Authors: Rao Hamza Ali, Gabriela Pinto, Evelyn Lawrie, Erik J. Linstead
Format: Article
Language:English
Published: SpringerOpen 2022-06-01
Series:Journal of Big Data
Subjects:
Sentiment analysis
Natural Language Processing
Twitter analysis
US Elections 2020
Online Access:https://doi.org/10.1186/s40537-022-00633-z

Internet

https://doi.org/10.1186/s40537-022-00633-z

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