Abstract: The present invention relates to a method, a computing device and a computer-readable medium for classification of encrypted data using neural network, and more particularly, to a method, a computing device and a computer-readable medium for classification of encrypted data using neural network to derive an embedding vector by embedding text data encrypted through an encryption technique, input the embedding vector to a feature extraction module to which a plurality of neural network models are connected, and enable the encrypted text data to be labeled without a separate decryption process by labeling the encrypted text data with a specific classification item based on a learning vector including a feature value derived from the feature extraction module.