Publication | Open Access
Personality Prediction System from Facebook Users
182
Citations
17
References
2017
Year
Computational Social SciencePersonality Prediction SystemSocial MediaMachine LearningData ScienceSocial NetworksDeep Learning ArchitecturesEngineeringSocial ComputingSocial Medium MiningAffective ComputingBehavior PredictionSocial SciencesComputer SciencePsychologySocial WebSocial Network Analysis
The use of social networks is increasing rapidly. Various informations are shared widely through social media, i.e. Facebook. Information about users and what they expressed through status updates are such important assets for research in the field of behavioral learning and human personality. Similar researches have been conducted in this field and it grows continually till now. This study attempts to build a system that can predict a person’s personality based on Facebook user information. Personality model used in this research is Big Five Model Personality. While other previous researches used older machine learning algorithm in building their models, this research tries to implement some deep learning architectures to see the comparison by doing comprehensive analysis method through the accuracy result. The results succeeded to outperform the accuracy of previous similar research with the average accuracy of 74.17%.
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