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Updated: May 29, 2025

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加强在线评论的情感分析:一种新的方法,集成了主题建模和深度学习

Yan Zhu1, Rui Zhou1, Gang Chen2

  • 1School of Design and Art, Shanghai Dianji University, Shanghai, Shanghai, China.

PeerJ. Computer science
|February 3, 2025
PubMed
概括

本研究介绍了一种使用隐性迪里克莱特分配 (LDA) 和深度学习的高级情绪分析模型,以更好地了解随着时间的推移在线评论的相关性和情绪. 综合方法显著提高了汉语和英语文本分析的准确性.

关键词:
双层改进的BiLSTM双层改进的BiLSTM在 LDA LDA 中.真正的NVP与混.情绪分析是一种情绪分析.时间性 暂时性文本的相关性 文本的相关性

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