A System for Personality and Happiness Detection

Authors

DOI:

https://doi.org/10.9781/ijimai.2014.251

Keywords:

Classification, Android, Happiness, Personality detection, Machine Learning, Algorithms
Supporting Agencies
The authors wish to acknowledge Álvaro Ortigosa Juárez (CEO at ACC -Agencia de Certificaciones de Ciberseguridad – and CNEC – Centro Nacional de Excelencia en Ciberseguridad), Manuel de Juan Espinosa (CEO at ICFS – Instituto de Ciencias Forenses y de la Seguridad), Carlota Urruela Cortés (project leader), Irene Gilpérez López and Pilar González Villasante (Main Psychology Team at the ICFS) for their support and collaboration during an important part of this work.

Abstract

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.

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References

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[13] B. Moreno, Psicología De La Personalidad. Procesos. International Thomson Editores, 2008.

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[16] Caprara, G.V., Barbarranelli, C. and Borgogni, L., 1993. Big Five Questionnaire (BFQ).

[17] Villena-Román, J., García-Morera, J., Moreno-García, C., Ferrer-Ureña, L., Lana-Serrano, S., Carlos González-Cristóbal, J. Westerski, A., Martínez-Cámara, E., García-Cumbreras, M.A., Martín-Valdivia, M.T., Alfonso Ureña-López, L., 2012, TASS Workshop on Sentiment Analysis at SEPLN, Workshop on Sentiment Analysis, Sociedad Española para el Procesamiento del Lenguaje.

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Published

2014-03-01
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How to Cite

Saez, Y., Navarro, C., Mochón, A., and Isasi, P. (2014). A System for Personality and Happiness Detection. International Journal of Interactive Multimedia and Artificial Intelligence, 2(5), 7–15. https://doi.org/10.9781/ijimai.2014.251

Issue

Vol. 2 No. 5 (2014): IJIMAI 2014 - Special Issue on AI Techniques to Evaluate Economics and Happiness.

Section

Regular Articles

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