Abstract
In a relatively short period of time, we have observed the explosion of social network platforms which have acquired a prominent role in the people’s daily life. In this context, each Facebook user can easily access and control the data shared on his/her corresponding profile. However, despite the large amount of information contained in Facebook user profile, this information is unstructured and not organized. In this paper, we propose a user ontology profiling in social networks by using a framework containing a Facebook application written in PHP, which accumulates all the equivalent shared data and stocks it in a not only SQL database Cassandra used for further analysis.
Keywords
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Lazzez, O., Ouarda, W., Alimi, A.M. (2017). Age, Gender, Race and Smile Prediction Based on Social Textual and Visual Data Analyzing. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_21
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