FIELD: computer technology.
SUBSTANCE: invention relates to the field of computer technology. This result is achieved by the fact that the processing of the input text data is performed, in which the data is cleared, normalized and tokenized; form at least one supply vector based on the received data tokens; sentiment analysis is performed, in which the type of sentence is determined based on the mentioned vectors of sentences using their processing by a machine learning model, while the type of sentence is: negative, positive, neutral or conversational; performing the extraction of dialog acts, in which the general intention in the incoming proposals is determined by processing the said vector of the proposal with a machine learning model; process the mentioned tokens of sentences obtained as a result of the analysis of sentiment and dialog acts in order to identify at least one of: subject, object, action or their combinations in each sentence and determine a specific intention and / or reason, as well as emotions of the object and subject based on the processing of said offer tokens.
EFFECT: invention is aimed at providing real-time automated analysis of user messages to select the most relevant response for an automatic response from the dialogue system.
14 cl, 3 dwg
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Authors
Dates
2021-12-22—Published
2020-04-28—Filed