User Profiling Using Hinge-loss Markov Random Fields

5 Jan 2020Golnoosh FarnadiLise GetoorMarie-Francine MoensMartine De Cock

A variety of approaches have been proposed to automatically infer the profiles of users from their digital footprint in social media. Most of the proposed approaches focus on mining a single type of information, while ignoring other sources of available user-generated content (UGC)... (read more)

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