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
Link To Document :
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