Facebook user's like behavior can reveal personality
作者： Seyed Morteza Ghavami , Masoud Asadpour , Javad Hatami , Mohammad Mahdavi
关键词: Personality 、 Psychology 、 Svm classifier 、 Statistical classification 、 Artificial intelligence 、 Psychological analysis 、 Big Five personality traits 、 Machine learning 、 Correlation 、 Attraction
摘要: 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 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 classify based on activity. Among classifiers, the SVM classifier outperforms other classifiers most traits.
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