A System for Personality and Happiness Detection

Author
Keywords
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.
Year of Publication
2014
Journal
International Journal of Interactive Multimedia and Artificial Intelligence
Volume
2
Issue
Special Issue on AI Techniques to Evaluate Economics and Happines
Number
5
Number of Pages
7-15
Date Published
03/2014
ISSN Number
1989-1660
Citation Key
URL
http://www.ijimai.org/journal/sites/default/files/files/2014/03/ijimai20142_5_1_pdf_10736.pdf
DOI
10.9781/ijimai.2014.251