Approach to Using Cloud Services for Visual Analytics of Neural Network Analysis of Texts Emotional Tonality

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dc.contributor.authorYurchenko, D.
dc.contributor.authorMazurets, O.
dc.contributor.authorDidur, V.
dc.contributor.authorMolchanova, M.
dc.contributor.authorМазурець, Олександр Вікторович
dc.date.accessioned2024-12-10T18:30:51Z
dc.date.available2024-12-10T18:30:51Z
dc.date.issued2024
dc.description.abstractFor the neural network analysis of the emotional tonality of messages, it is proposed to use a hybrid architecture neural network that combines the simultaneous advantages of the CNN and BiLSTM architectures. A neural network architecture was developed for determining emotional tonality, and the LIME model of interpreted model-agnostic explanations was used to visually explain the results of the neural network analysis of emotional tonality. This approach will make it possible to use all the advantages of neural network solutions, but to have an understanding for the user of what influenced these solutions.
dc.identifier.citationYurchenko D., Mazurets O., Didur V., Molchanova M. Approach to Using Cloud Services for Visual Analytics of Neural Network Analysis of Texts Emotional Tonality. The Future of Scientific Discoveries: New Trends and Technologies. Proceedings of the XLVІІ International scientific and practical conference. November 13-15, 2024. Marseille, France. 2024. Pp. 108-113
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/17237
dc.language.isoen
dc.titleApproach to Using Cloud Services for Visual Analytics of Neural Network Analysis of Texts Emotional Tonality
dc.typeСтаття
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