Music Sentiment Analysis Based on Multi-Modal Intelligent Computing and Deep Learning

The study of intelligent computing and deep learning has become a prominent research topic among both industrial and academic researchers in recent years. As a typical form of intelligent computing and deep learning, with ongoing advancements in affective computing, the close connection between deep learning, multi-modal information, and emotion has gradually garnered the attention of researchers. Existing methods still exhibit many shortcomings in the perception, understanding, and expression of machine emotions. A computational model of emotion that integrates emotion perception, information fusion, and deep learning is proposed. The model is a deep learning-oriented network perception model that accepts visual, auditory, and textual inputs to achieve an understanding of uncertain emotions. Experiments demonstrate that the model performs well in various multi-modal emotion computations. The studies presented in this paper provide important guidance for the application of both multi-modal intelligent computing and deep learning.