A System for Personality and Happiness Detection.

• Autores: Yago Sáez Achaerandio, Carlos Navarro Ugena, Asunción Mochón Sáez, Pedro Isasi Viñuela
• Localización: IJIMAI, ISSN-e 1989-1660, Vol. 2, Nº. 5, 2014, págs. 8-16
• Idioma: inglés
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• Dialnet Métricas: 1 Cita
• Resumen
  • English

    This work proposes a platform for estimating personality and happiness. Starting from Eysenck's theory about human's personality, authors seek to provide a platform for collecting text messages from social media (Whatsapp), and classifying them into different personality categories. Although there is not a clear link between personality features and happiness, some correlations between them could be found in the future. In this work, we describe the platform developed, and as a proof of concept, we have used different sources of messages to see if common machine learning algorithms can be used for classifying different personality features and happiness.

  • English

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