Establishment of Music Emotion Model Based on Blockchain Network Environment

Abstract

With the innovation and development of network technology, people’s various needs are gradually increasing. Among various multimedia, music has different characteristics from other forms of multimedia. Music can contain many human emotions, and humans can express some shallow and deep emotions through music. Therefore, the study of music emotion in the context of the Internet is an area where the public is relatively concerned. In the context of new media on the Internet, based on the current music emotion model, this paper establishes a different music emotion model from the past through clear research and analysis. From music characteristics, some relative vector quantities are extracted to build samples, and the samples are screened on the basis of network media technology to build a musical emotion model. The experimental simulation results show that the music emotion model based on the blockchain network environment established in this paper has high applicability and efficiency.