Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election

Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election

Abstract This paper proposes an analysis of political homophily among Twitter users during the 2016 American Presidential Election. We collected 4.9 million tweets of 18,450 users and their contact network from August 2016 to November 2016. We defined six user classes regarding their sentiment towar...

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Bibliographic Details
Main Authors: Josemar A. Caetano, Hélder S. Lima, Mateus F. Santos, Humberto T. Marques-Neto
Format: Article
Language:English
Published: SpringerOpen 2018-09-01
Series:Journal of Internet Services and Applications
Subjects:
Internet
Online social networks
Sentiment analysis
Homophily
Online Access:http://link.springer.com/article/10.1186/s13174-018-0089-0

Internet

http://link.springer.com/article/10.1186/s13174-018-0089-0

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