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The Influence of Digitization on the Dissemination of Traditional Chinese Music and Weibo Content Propagation Under Deep Learning

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成果类型:
期刊论文
作者:
You, Jiaojing
通讯作者:
You, JJ
作者机构:
[You, JJ; You, Jiaojing] Hunan City Univ, Sch Music & Dance, Yiyang 413000, Hunan, Peoples R China.
通讯机构:
[You, JJ ] H
Hunan City Univ, Sch Music & Dance, Yiyang 413000, Hunan, Peoples R China.
语种:
英文
关键词:
Blogs;Social networking (online);Deep learning;Cultural differences;Generative adversarial networks;Logic gates;Global communication;Music;Data dissemination;Information exchange;Weibo propagation influence;deep learning;traditional Chinese music;self-attention mechanism;graph attention network
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2024
卷:
12
页码:
13870-13877
机构署名:
本校为第一且通讯机构
摘要:
This study aims to investigate the dissemination of traditional Chinese music in the digital era and the application of deep learning in predicting the influence of Weibo content propagation. Firstly, the impact of digitization on the dissemination of traditional Chinese music is analyzed. Secondly, based on the Bidirectional Gated Recurrent Unit (Bi-GRU), traditional content feature modeling methods are optimized by introducing content text features. Simultaneously, the Graph Attention Network (GAN) is divided into three steps, allowing it to consider the edge properties of input sequences. T...

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