Paper Info
Title
Age, Gender, Race and Smile Prediction Based on Social Textual and Visual Data Analyzing.
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.
Year
DOI
Venue
2016
10.1007/978-3-319-53480-0_21
INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016)
Keywords
Field
DocType
Social networks,Facebook application,Not only SQL database,User profile data,User profile modeling
Ontology,World Wide Web,Social network,User profile,Profiling (computer programming),Computer science,Sql database,Artificial intelligence,Machine learning
Conference
Volume
ISSN
Citations 
557
2194-5357
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Onsa Lazzez100.68
Wael Ouarda2347.36
Mohamed Adel Alimi31947217.16