• DocumentCode
    3667294
  • Title

    Facebook user´s like behavior can reveal personality

  • Author

    Seyed Morteza Ghavami;Masoud Asadpour;Javad Hatami;Mohammad Mahdavi

  • Author_Institution
    School of Electrical and Computer Engineering, University of Tehran, Iran
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Personality is an important factor that affects human´s behavior. In recent years attraction towards online social networks has increased tremendously.Due to its unique features social networks are very suitable platforms for psychological analysis. By investigating 65 facebook users which participated in this research, correlation between personality traits and user liking behavior was observed. Classification algorithms were applied to classify personality traits based on user liking activity. Among classifiers, the SVM classifier outperforms other classifiers in most traits.
  • Keywords
    "Correlation","Facebook","Feature extraction","Electronic mail","Support vector machines","Blogs"
  • Publisher
    ieee
  • Conference_Titel
    Information and Knowledge Technology (IKT), 2015 7th Conference on
  • Print_ISBN
    978-1-4673-7483-5
  • Type

    conf

  • DOI
    10.1109/IKT.2015.7288797
  • Filename
    7288797