Research On The Detection Model Of Mental Illness Of Online Forum Users Based On Convolutional Network

This article discusses the development of two hierarchical user post feature representation models, Single-Gated LeakReLU-CNN (SGL-CNN) and Multi-Gated LeakyReLU-CNN (MGL-CNN), which are used to identify users with mental illness in online forums. The models are able to accurately identify key emotional features from a large number of posts issued by users and filter out other unimportant information. The experimental results based on the task of RSDD dataset prove that the performance of the model proposed in this paper is superior to that of the existing methods.