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Apply deep belief networks to online social network image classification, taking Sina microblog as an example of online social network. Images and text information are acquired from Sina microblog developer platform. Deep belief networks use unsupervised learning algorithm learning image characteristics, which is applied to online social networking image classification tasks. In this paper, image classification which combines text features and content features obtained from the deep learningdoi:10.12783/dtetr/iceta2016/6970 fatcat:foyoaxur4rb2lodddst3oempxu