Approach for Using Neural Network BERT-GPT2 Dual Transformer Architecture for Detecting Persons Depressive State

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dc.contributor.authorMazurets, O.
dc.contributor.authorTymofiiev, I.
dc.contributor.authorDydo, R.
dc.contributor.authorМазурець, Олександр Вікторович
dc.date.accessioned2024-12-10T18:08:49Z
dc.date.available2024-12-10T18:08:49Z
dc.date.issued2024
dc.description.abstractThe paper proposed the method of using neural network BERT-GPT2 dual transformer architecture for detecting persons depressive state designed to transform input data in the form of text and trained neural network BERT-GPT2 dual transformer architecture model into output data in the form of the numerical assessment of the presence of persons depressive state. Experiments were conducted with the use of the given developed software complex for detecting persons depressive state, which testify to the correctness of the proposed approach. From the performed performance study, the dual architecture did not make a single error during classification
dc.identifier.citationMazurets O., Tymofiiev I., Dydo R. Approach for Using Neural Network BERT-GPT2 Dual Transformer Architecture for Detecting Persons Depressive State. Ricerche scientifiche e metodi della loro realizzazione: esperienza mondiale e realtà domestiche. Raccolta di articoli scientifici con gli atti della VI Conferenza scientifica e pratica internazionale. 15 novembre, 2024. Bologna, Repubblica Italiana. 2024. Pp. 147-151
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/17191
dc.language.isoen
dc.titleApproach for Using Neural Network BERT-GPT2 Dual Transformer Architecture for Detecting Persons Depressive State
dc.typeСтаття
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