A System for Personality and Happiness Detection

TitleA System for Personality and Happiness Detection
Publication TypeJournal Article
Year of Publication2014
AuthorsSaez, Y., C. Navarro, A. Mochón, and P. Isasi
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueSpecial Issue on AI Techniques to Evaluate Economics and Happines
Volume2
Number5
Date Published03/2014
Pagination7-15
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.

KeywordsAlgorithms, Android, Classification, Happiness, Machine Learning, Personality detection
DOI10.9781/ijimai.2014.251
URLhttp://www.ijimai.org/journal/sites/default/files/files/2014/03/ijimai20142_5_1_pdf_10736.pdf
AttachmentSize
IJIMAI20142_5_1.pdf762.8 KB