METHOD FOR CREATING A DIALOGUE ANALYSIS MODEL ON THE BASIS OF ARTIFICIAL INTELLIGENCE

摘要

The present technical solution relates in general to the field of electronic data processing, and more particularly to machine learning methods for constructing natural language dialogue analysis models. A computer implemented method for creating a dialogue analysis model on the basis of artificial intelligence for processing user queries is carried out with the aid of at least one processor and comprises the steps of: obtaining a set of primary data containing at least text data of dialogues between users and operators including user queries and operator responses; processing the set of data obtained and simultaneously forming a training set for an artificial neural network containing positive and negative examples of user queries based on an analysis of the context of the dialogues, wherein said positive examples contain a semantically related set of operator replies in response to a user query; identifying and coding a vector representation of each reply from the positive and negative examples of the training set referred to in the previous step; and using the resulting training set to train models for determining relevant replies from the context of user queries in dialogues.