Based on the multisource data fusion and fusion of music emotion expression learning and its application, this paper further analyzes the actual influence of music emotion and Internet multisource data in emotion learning. This paper uses multisource data to improve the professionalism and concentration of music emotion and uses modern Internet technology to help users quickly integrate into music emotion learning. At the same time, the multisource data structure can develop the music learning structure to a high-quality level. It is precisely because of the emphasis of the multisource data model architecture that the learning mechanism of musical emotion representation can be continuously updated and improved, which is mutually promoted jointly with Internet technology.

中文翻译：

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基于多源数据融合的音乐情感表征学习及其应用

本文基于音乐情感表达学习的多源数据融合与融合及其应用，进一步分析了音乐情感和互联网多源数据在情感学习中的实际影响。本文利用多源数据提高音乐情感的专业性和集中度，利用现代互联网技术帮助用户快速融入音乐情感学习。同时，多源数据结构可以将音乐学习结构发展到一个高质量的水平。正是由于对多源数据模型架构的重视，音乐情感表征的学习机制才能不断更新和完善，与互联网技术共同推动。