Análisis supervisado de sentimientos políticos en españolclasificación en tiempo real de tweets basada en aprendizaje automático

  1. Carlos Arcila Calderón 1
  2. Félix Ortega Mohedano 1
  3. Javier Jiménez Amores 1
  4. Sofía Trullenque 1
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Aldizkaria:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Argitalpen urtea: 2017

Zenbakien izenburua: Comunicación política II

Alea: 26

Zenbakia: 5

Orrialdeak: 973-982

Mota: Artikulua

DOI: 10.3145/EPI.2017.SEP.18 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: El profesional de la información

Garapen Iraunkorreko Helburuak

Laburpena

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.

€ Ikusi finantzaketa

Finantzaketari buruzko informazioa

Los autores agradecen a la Fundación General de la Universidad de Salamanca y al Plan TCUE [2015-2017 Fase 2] la financiación obtenida para el desarrollo de la prueba de concepto: Clasificador en tiempo real de opiniones políticas en español con técnicas de aprendizaje automático (Auto-cop).

Finantzatzaile

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