International Journal of Academic Information Systems Research (IJAISR)   Year: 2023 | Volume: 7 | Issue: 7 | Page No.: 25-36 Development of an Application for Recognizing Emotions Using Convolutional Neural Networks Download PDF Viktor Pomazan, Iryna Tvoroshenko, Volodymyr Gorokhovatskyi 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.