Learning Political Polarization on Social Media Using Neural Networks

Learning Political Polarization on Social Media Using Neural Networks

Social media analysis is a fast growing research area aimed at extracting useful information from social media platforms. This paper presents a methodology, called IOM-NN (Iterative Opinion Mining using Neural Networks), for discovering the polarization of social media users during election campaign...

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Bibliographic Details
Main Authors: Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Social media analysis
opinion mining
user polarization
neural networks
sentiment analysis
political events
Online Access:https://ieeexplore.ieee.org/document/9026882/

Internet

https://ieeexplore.ieee.org/document/9026882/

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