Text mining Online Social Networks for Personality Classification

Today's online social networks are one the major application programs among internet users. The user ofthese networks daily expresses their tastes, interest and feelings in these networks. Among these, shared texts by userscan be important and rich sources for investigating current user's behaviour and personality traits in these networks. Inthis study we investigated existing text in social networks, one of the existing diverse data in online social network inorder to classify user's personality traits. For this purpose, we built great corpus about 9900 status update, related to 250existing user in face book social network, then with using this source, different datasets built according to extractivetraits from text and finally we used RBF neural network for classify user's personality traits .The results show that forpersonality traits classification ,RBF neural network have high precision than common classification such as SVM,Naïve Bayes.

Keywords:

Online social network , Text mining , Personality , User modeling