Emotions-Based Advertisement System Using CNN

Emotion-based advertising has developed as a potential method for developing advertisements that generate emotional responses from viewers while increasing brand recognition. Convolutional Neural Networks (CNNs) have demonstrated significant promise in recognising and analysing emotional content in advertisements. We provide a review of the literature on the use of CNNs in emotion-based advertising in this study, with an emphasis on facial expression recognition and emotional branding. We examine the success of CNNs in creating emotion-based advertising and promoting brand recognition, as well as their limitations and obstacles. According to the literature, CNNs have the potential to revolutionise emotion-based advertising by providing real-time analysis and customisation. However, further study is required to address the limits of current treatments and to investigate new paths for emotion Deep learning algorithms are used in advertising.