Provided are an auto-encoding neural network processing method and apparatus, and a computer device and a storage medium. The method comprises: converting a text sample into a sample word vector; inputting the sample word vector into a convolutional neural network model to perform preliminary feature extraction on the sample word vector so as to obtain a preliminary sample implicit feature; inputting the preliminary sample implicit feature into a plurality of auto-encoding neural networks, and training the auto-encoding neural networks to obtain a plurality of auto-encoding neural network models; inputting the preliminary sample implicit feature into the auto-encoding neural network models to perform feature extraction so as to obtain sample implicit features output by the auto-encoding neural network models; clustering feature samples of the extracted sample implicit features to obtain a clustering result; determining, according to the clustering result, whether to reconstruct an auto-encoding neural network; and if it is determined that the auto-encoding neural network is to be reconstructed, constructing a target auto-encoding neural network according to a contour coefficient to obtain an auto-encoding neural network with high clustering accuracy.
AUTO-ENCODING NEURAL NETWORK PROCESSING METHOD AND APPARATUS, AND COMPUTER DEVICE AND STORAGE MEDIUM