@article{2442,
  keywords = {Classification, Android, Happiness, Personality detection, Machine Learning, Algorithms},
  author = {Yago Saez and Carlos Navarro and Asunción Mochón and Pedro Isasi},
  title = {A System for Personality and Happiness Detection},
  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 = {2014},
  journal = {International Journal of Interactive Multimedia and Artificial Intelligence},
  volume = {2},
  number = {5},
  pages = {7-15},
  month = {03/2014},
  issn = {1989-1660},
  url = {http://www.ijimai.org/journal/sites/default/files/files/2014/03/ijimai20142_5_1_pdf_10736.pdf},
  doi = {10.9781/ijimai.2014.251},
}