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Profile Categorization System based on Features Reduction
2018
International Symposium on Artificial Intelligence and Mathematics
Though the enormous impact of social media on our daily life, we observe a lack of information about those who create the contents. In this regard, author profiling tries to determine the profile category of authors by analysing their published texts. This paper presents a profile categorization system to solve the multi-class categorization problem. The system consists of two modules: the processing module and the classifying module. In the first module TF-IDF with threshold filtering method
dblp:conf/isaim/MabroukHO18
fatcat:fp4hwacat5cidps3irztw2aibq