Supervised sentiment analysis of political messages in Spanish: Real-time classification of tweets based on machine learning

Authors

  • Carlos Arcila-Calderón El profesional de la información
  • Félix Ortega-Mohedano
  • Javier Jiménez-Amores
  • Sofí­a Trullenque

DOI:

https://doi.org/10.3145/epi.2017.sep.18

Keywords:

Supervised sentiment analysis, Political opinion, Twitter, Machine learning, Big data, Political tweets.

Abstract

This article describes and evaluates the application of the supervised sentiment analysis in political communication through a real-time classifier of political opinions in Spanish tweets using machine learning techniques, both on a local computer and using distributed computing for big data problems. We describe the associated emerging methods and techniques and analyze the opportunities that these innovations represent for political communication.

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Published

2017-09-14

How to Cite

Arcila-Calderón, C., Ortega-Mohedano, F., Jiménez-Amores, J., & Trullenque, S. (2017). Supervised sentiment analysis of political messages in Spanish: Real-time classification of tweets based on machine learning. Profesional De La información, 26(5), 973–982. https://doi.org/10.3145/epi.2017.sep.18

Issue

Section

Non research articles