TY - JOUR
KW - Classification
KW - Android
KW - Happiness
KW - Personality detection
KW - Machine Learning
KW - Algorithms
AU - Yago Saez
AU - Carlos Navarro
AU - Asunción Mochón
AU - Pedro Isasi
AB - 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.
IS - Special Issue on AI Techniques to Evaluate Economics and Happines
M1 - 5
N2 - 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.
PY - 2014
SP - 7
EP - 15
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - A System for Personality and Happiness Detection
UR - http://www.ijimai.org/journal/sites/default/files/files/2014/03/ijimai20142_5_1_pdf_10736.pdf
VL - 2
SN - 1989-1660
ER -