Abstract: A labeling method according to an embodiment may include: receiving a consultation dataset sentence; classifying the consultation dataset sentence into morpheme units and extracting target data; searching whether the target data is included in each of a plurality of categories of a word dictionary; and labeling the consultation dataset sentence in the word dictionary based on a result of the searching.

Abstract: A training method according to an embodiment may include: performing transfer learning a first artificial neural network model based on a consultation dataset sentence; inputting depressive disorder-related expression data into the first artificial neural network model, labeling the depressive disorder-related expression data according to depressive disorder diagnosis criteria, and generating labeled depressive disorder-related expression data; and training a second artificial neural network model based on the labeled depressive disorder-related expression data so that a second artificial neural network model may output the depressive disorder diagnosis criteria corresponding to input data.