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Updated: Feb 14, 2026

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序列级联混合适应型基于深度网络的歌词文字分类使用优化方法

R L Jasmine1, Saswati Mukherjee2, C R Rene Robin3

  • 1Teaching Fellow, Department of Information Science and Technology, College of Engineering, Guindy Campus, Guindy, Chennai, 600025, Tamil Nadu, India. mahil.jasmine@gmail.com.

Scientific reports
|February 12, 2026
PubMed
概括

一个新的深度学习模型,SCHADNet,有效地根据情感内容对歌词进行分类. 这种先进的自然语言处理 (NLP) 方法提高了音乐的发现和内容的适合性,以满足不同受众的需求.

关键词:
改进了海洋捕食者算法.歌词的文字分类 文字的分类序列级联混合动力自适应深度网络基于变压器的双向长期短期存储器

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