КОНФЕРЕНЦІЇ ВНТУ електронні наукові видання, 
Молодь в науці: дослідження, проблеми, перспективи (МН-2026)

Розмір шрифта: 
NATURAL LANGUAGE PROCESSING ALGORITHMS FOR RECOGNIZING THE EMOTIONAL STATE OF THE USER
Георгій Дмитрович Дзюменко, Анатолій Тимофійович Теренчук

Остання редакція: 2026-06-07

Анотація


The paper considers modern natural language processing (NLP) algorithms for automatic recognition of the emotional state of users in web-oriented psychological support chat systems. Methods of sentiment analysis, multi-class emotion classification, and transformer-based approaches are analyzed. The specifics of applying these methods to the tasks of primary psychological diagnostics are described.

Ключові слова


natural language processing; emotion recognition; sentiment analysis; transformer models; psychological diagnostics; chat systems.

Посилання


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