01346nas a2200265   4500000000100000000000100001008004100002260001200043653001900055653001200074653001400086653002600100653002100126653001500147100001400162700001900176700002200195700001600217245005300233856009800286300000900384490000600393520066700399022001401066       2014                            d  c03/201410aClassification10aAndroid10aHappiness10aPersonality detection10aMachine Learning10aAlgorithms1 aYago Saez1 aCarlos Navarro1 aAsunción Mochón1 aPedro Isasi00aA System for Personality and Happiness Detection  uhttp://www.ijimai.org/journal/sites/default/files/files/2014/03/ijimai20142_5_1_pdf_10736.pdf  a7-150 v23 aThis 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.  a1989-1660