Development of an application for recognizing emotions using convolutional neural networks

Pomazan, V.; Tvoroshenko, I.; Gorokhovatskyi, V.

Публікація:
Development of an application for recognizing emotions using convolutional neural networks

dc.contributor.author	Pomazan, V.
dc.contributor.author	Tvoroshenko, I.
dc.contributor.author	Gorokhovatskyi, V.
dc.date.accessioned	2023-07-31T09:45:06Z
dc.date.available	2023-07-31T09:45:06Z
dc.date.issued	2023
dc.description.abstract	This paper explores the potential of using convolutional neural networks (CNN) for emotion recognition in marketing research of advertising. Discusses how CNN can be trained to accurately recognize emotions conveyed in advertisements and how this information can be used to gain insights into consumer behavior. By analyzing consumer emotions in response to different types of advertising, marketers can better tailor their advertising campaigns to elicit positive emotional responses and improve overall effectiveness. Overall, the paper demonstrates the potential of CNN-based emotion recognition as a valuable tool to optimize advertising strategies and improve consumer engagement.
dc.identifier.citation	Pomazan V. Development of an application for recognizing emotions using convolutional neural networks / Pomazan V., Tvoroshenko I., Gorokhovatskyi V. // International Journal of Academic Information Systems Research, 7(7), pp. 25-36.
dc.identifier.other	http://ijeais.org/wp-content/uploads/2023/7/IJAISR230704.pdf
dc.identifier.uri	https://openarchive.nure.ua/handle/document/23815
dc.language.iso	en_US
dc.publisher	International Journal of Academic Information Systems Research
dc.subject	convolutional neural networks (CNN)
dc.subject	deep learning
dc.subject	emotion analysis
dc.subject	emotion recognition
dc.subject	marketing
dc.subject	neural networks
dc.title	Development of an application for recognizing emotions using convolutional neural networks
dc.type	Article
dspace.entity.type	Publication